id	sid	tid	token	lemma	pos
ejpam-5796	1	1	european	european	PROPN
ejpam-5796	1	2	journal	journal	PROPN
ejpam-5796	1	3	of	of	ADP
ejpam-5796	1	4	pure	pure	ADJ
ejpam-5796	1	5	and	and	CCONJ
ejpam-5796	1	6	applied	applied	ADJ
ejpam-5796	1	7	mathematics	mathematic	NOUN
ejpam-5796	1	8	2025	2025	NUM
ejpam-5796	1	9	,	,	PUNCT
ejpam-5796	1	10	vol	vol	NOUN
ejpam-5796	1	11	.	.	PROPN
ejpam-5796	1	12	18	18	NUM
ejpam-5796	1	13	,	,	PUNCT
ejpam-5796	1	14	issue	issue	NOUN
ejpam-5796	1	15	2	2	NUM
ejpam-5796	1	16	,	,	PUNCT
ejpam-5796	1	17	article	article	NOUN
ejpam-5796	1	18	number	number	NOUN
ejpam-5796	1	19	5796	5796	NUM
ejpam-5796	1	20	issn	issn	PROPN
ejpam-5796	1	21	1307	1307	NUM
ejpam-5796	1	22	-	-	SYM
ejpam-5796	1	23	5543	5543	NUM
ejpam-5796	1	24	–	–	PUNCT
ejpam-5796	1	25	ejpam.com	ejpam.com	X
ejpam-5796	1	26	published	publish	VERB
ejpam-5796	1	27	by	by	ADP
ejpam-5796	1	28	new	new	PROPN
ejpam-5796	1	29	york	york	PROPN
ejpam-5796	1	30	business	business	PROPN
ejpam-5796	1	31	global	global	PROPN
ejpam-5796	1	32	a	a	DET
ejpam-5796	1	33	comparative	comparative	ADJ
ejpam-5796	1	34	analysis	analysis	NOUN
ejpam-5796	1	35	of	of	ADP
ejpam-5796	1	36	entropy	entropy	NOUN
ejpam-5796	1	37	measures	measure	NOUN
ejpam-5796	1	38	for	for	ADP
ejpam-5796	1	39	exponentiated	exponentiate	VERB
ejpam-5796	1	40	exponential	exponential	NOUN
ejpam-5796	1	41	and	and	CCONJ
ejpam-5796	1	42	truncated	truncated	ADJ
ejpam-5796	1	43	exponentiated	exponentiated	ADJ
ejpam-5796	1	44	exponential	exponential	ADJ
ejpam-5796	1	45	distributions	distribution	NOUN
ejpam-5796	1	46	javid	javid	PROPN
ejpam-5796	1	47	gani	gani	PROPN
ejpam-5796	1	48	dar1,∗	dar1,∗	PROPN
ejpam-5796	1	49	,	,	PUNCT
ejpam-5796	1	50	irsa	irsa	PROPN
ejpam-5796	1	51	sajjad2	sajjad2	PROPN
ejpam-5796	1	52	,	,	PUNCT
ejpam-5796	1	53	shahid	shahid	PROPN
ejpam-5796	1	54	tamboli3	tamboli3	PROPN
ejpam-5796	1	55	1	1	NUM
ejpam-5796	1	56	department	department	NOUN
ejpam-5796	1	57	of	of	ADP
ejpam-5796	1	58	applied	apply	VERB
ejpam-5796	1	59	sciences	science	NOUN
ejpam-5796	1	60	,	,	PUNCT
ejpam-5796	1	61	symbiosis	symbiosis	NOUN
ejpam-5796	1	62	institute	institute	PROPN
ejpam-5796	1	63	of	of	ADP
ejpam-5796	1	64	technology	technology	PROPN
ejpam-5796	1	65	,	,	PUNCT
ejpam-5796	1	66	symbiosis	symbiosis	NOUN
ejpam-5796	1	67	international	international	ADJ
ejpam-5796	1	68	(	(	PUNCT
ejpam-5796	1	69	deemed	deem	VERB
ejpam-5796	1	70	university	university	NOUN
ejpam-5796	1	71	)	)	PUNCT
ejpam-5796	1	72	(	(	PUNCT
ejpam-5796	1	73	siu	siu	NOUN
ejpam-5796	1	74	)	)	PUNCT
ejpam-5796	1	75	,	,	PUNCT
ejpam-5796	1	76	lavale	lavale	NOUN
ejpam-5796	1	77	,	,	PUNCT
ejpam-5796	1	78	pune	pune	NOUN
ejpam-5796	1	79	,	,	PUNCT
ejpam-5796	1	80	maharashtra	maharashtra	PROPN
ejpam-5796	1	81	,	,	PUNCT
ejpam-5796	1	82	india	india	PROPN
ejpam-5796	1	83	2	2	NUM
ejpam-5796	1	84	department	department	NOUN
ejpam-5796	1	85	of	of	ADP
ejpam-5796	1	86	mathematics	mathematic	NOUN
ejpam-5796	1	87	and	and	CCONJ
ejpam-5796	1	88	statistics	statistic	NOUN
ejpam-5796	1	89	,	,	PUNCT
ejpam-5796	1	90	central	central	ADJ
ejpam-5796	1	91	south	south	PROPN
ejpam-5796	1	92	university	university	PROPN
ejpam-5796	1	93	changsha	changsha	PROPN
ejpam-5796	1	94	,	,	PUNCT
ejpam-5796	1	95	hunan	hunan	PROPN
ejpam-5796	1	96	,	,	PUNCT
ejpam-5796	1	97	china	china	PROPN
ejpam-5796	1	98	3	3	NUM
ejpam-5796	1	99	department	department	PROPN
ejpam-5796	1	100	of	of	ADP
ejpam-5796	1	101	mechanical	mechanical	ADJ
ejpam-5796	1	102	engineering	engineering	NOUN
ejpam-5796	1	103	,	,	PUNCT
ejpam-5796	1	104	symbiosis	symbiosis	NOUN
ejpam-5796	1	105	institute	institute	PROPN
ejpam-5796	1	106	of	of	ADP
ejpam-5796	1	107	technology	technology	PROPN
ejpam-5796	1	108	,	,	PUNCT
ejpam-5796	1	109	symbiosis	symbiosis	NOUN
ejpam-5796	1	110	international	international	ADJ
ejpam-5796	1	111	(	(	PUNCT
ejpam-5796	1	112	deemed	deem	VERB
ejpam-5796	1	113	)	)	PUNCT
ejpam-5796	1	114	university	university	NOUN
ejpam-5796	1	115	,	,	PUNCT
ejpam-5796	1	116	lavale	lavale	NOUN
ejpam-5796	1	117	,	,	PUNCT
ejpam-5796	1	118	pune	pune	NOUN
ejpam-5796	1	119	,	,	PUNCT
ejpam-5796	1	120	india	india	PROPN
ejpam-5796	1	121	abstract	abstract	NOUN
ejpam-5796	1	122	.	.	PUNCT
ejpam-5796	2	1	our	our	PRON
ejpam-5796	2	2	research	research	NOUN
ejpam-5796	2	3	explores	explore	VERB
ejpam-5796	2	4	several	several	ADJ
ejpam-5796	2	5	entropy	entropy	NOUN
ejpam-5796	2	6	measurements	measurement	NOUN
ejpam-5796	2	7	for	for	ADP
ejpam-5796	2	8	both	both	PRON
ejpam-5796	2	9	ee	ee	PROPN
ejpam-5796	2	10	(	(	PUNCT
ejpam-5796	2	11	exponentiated	exponentiate	VERB
ejpam-5796	2	12	exponential	exponential	NOUN
ejpam-5796	2	13	)	)	PUNCT
ejpam-5796	2	14	and	and	CCONJ
ejpam-5796	2	15	tee	tee	NOUN
ejpam-5796	2	16	(	(	PUNCT
ejpam-5796	2	17	truncated	truncate	VERB
ejpam-5796	2	18	exponentiated	exponentiated	ADJ
ejpam-5796	2	19	exponential	exponential	ADJ
ejpam-5796	2	20	)	)	PUNCT
ejpam-5796	2	21	lifetime	lifetime	NOUN
ejpam-5796	2	22	models	model	NOUN
ejpam-5796	2	23	that	that	PRON
ejpam-5796	2	24	scientists	scientist	NOUN
ejpam-5796	2	25	commonly	commonly	ADV
ejpam-5796	2	26	use	use	VERB
ejpam-5796	2	27	in	in	ADP
ejpam-5796	2	28	their	their	PRON
ejpam-5796	2	29	reliability	reliability	NOUN
ejpam-5796	2	30	projects	project	NOUN
ejpam-5796	2	31	.	.	PUNCT
ejpam-5796	3	1	our	our	PRON
ejpam-5796	3	2	research	research	NOUN
ejpam-5796	3	3	develops	develop	VERB
ejpam-5796	3	4	various	various	ADJ
ejpam-5796	3	5	measures	measure	NOUN
ejpam-5796	3	6	of	of	ADP
ejpam-5796	3	7	entropy	entropy	NOUN
ejpam-5796	3	8	such	such	ADJ
ejpam-5796	3	9	as	as	ADP
ejpam-5796	3	10	shannon	shannon	NOUN
ejpam-5796	3	11	and	and	CCONJ
ejpam-5796	3	12	rényi	rényi	NOUN
ejpam-5796	3	13	to	to	PART
ejpam-5796	3	14	precisely	precisely	ADV
ejpam-5796	3	15	measure	measure	VERB
ejpam-5796	3	16	uncertainty	uncertainty	NOUN
ejpam-5796	3	17	and	and	CCONJ
ejpam-5796	3	18	unpredictability	unpredictability	NOUN
ejpam-5796	3	19	within	within	ADP
ejpam-5796	3	20	these	these	DET
ejpam-5796	3	21	statistical	statistical	ADJ
ejpam-5796	3	22	distributions	distribution	NOUN
ejpam-5796	3	23	.	.	PUNCT
ejpam-5796	4	1	the	the	DET
ejpam-5796	4	2	research	research	NOUN
ejpam-5796	4	3	analyzes	analyze	VERB
ejpam-5796	4	4	entropy	entropy	NOUN
ejpam-5796	4	5	behavior	behavior	NOUN
ejpam-5796	4	6	across	across	ADP
ejpam-5796	4	7	changing	change	VERB
ejpam-5796	4	8	distribution	distribution	NOUN
ejpam-5796	4	9	parameters	parameter	NOUN
ejpam-5796	4	10	and	and	CCONJ
ejpam-5796	4	11	contrasts	contrast	VERB
ejpam-5796	4	12	ee	ee	INTJ
ejpam-5796	4	13	with	with	ADP
ejpam-5796	4	14	tee	tee	NOUN
ejpam-5796	4	15	results	result	NOUN
ejpam-5796	4	16	.	.	PUNCT
ejpam-5796	5	1	the	the	DET
ejpam-5796	5	2	results	result	NOUN
ejpam-5796	5	3	show	show	VERB
ejpam-5796	5	4	what	what	PRON
ejpam-5796	5	5	exactly	exactly	ADV
ejpam-5796	5	6	connects	connect	VERB
ejpam-5796	5	7	distribution	distribution	NOUN
ejpam-5796	5	8	parameters	parameter	NOUN
ejpam-5796	5	9	to	to	ADP
ejpam-5796	5	10	their	their	PRON
ejpam-5796	5	11	entropy	entropy	NOUN
ejpam-5796	5	12	measurements	measurement	NOUN
ejpam-5796	5	13	and	and	CCONJ
ejpam-5796	5	14	shows	show	VERB
ejpam-5796	5	15	why	why	SCONJ
ejpam-5796	5	16	each	each	DET
ejpam-5796	5	17	distribution	distribution	NOUN
ejpam-5796	5	18	is	be	AUX
ejpam-5796	5	19	special	special	ADJ
ejpam-5796	5	20	.	.	PUNCT
ejpam-5796	6	1	this	this	DET
ejpam-5796	6	2	study	study	NOUN
ejpam-5796	6	3	enhances	enhance	VERB
ejpam-5796	6	4	statistical	statistical	ADJ
ejpam-5796	6	5	and	and	CCONJ
ejpam-5796	6	6	information	information	NOUN
ejpam-5796	6	7	theoretical	theoretical	ADJ
ejpam-5796	6	8	methods	method	NOUN
ejpam-5796	6	9	for	for	ADP
ejpam-5796	6	10	general	general	ADJ
ejpam-5796	6	11	use	use	NOUN
ejpam-5796	6	12	by	by	ADP
ejpam-5796	6	13	showing	show	VERB
ejpam-5796	6	14	all	all	DET
ejpam-5796	6	15	known	know	VERB
ejpam-5796	6	16	uncertainty	uncertainty	NOUN
ejpam-5796	6	17	characteristics	characteristic	NOUN
ejpam-5796	6	18	of	of	ADP
ejpam-5796	6	19	ee	ee	NOUN
ejpam-5796	6	20	and	and	CCONJ
ejpam-5796	6	21	tee	tee	NOUN
ejpam-5796	6	22	distributions	distribution	NOUN
ejpam-5796	6	23	.	.	PUNCT
ejpam-5796	7	1	2020	2020	NUM
ejpam-5796	7	2	mathematics	mathematic	NOUN
ejpam-5796	7	3	subject	subject	NOUN
ejpam-5796	7	4	classifications	classification	NOUN
ejpam-5796	7	5	:	:	PUNCT
ejpam-5796	7	6	16n60	16n60	NUM
ejpam-5796	7	7	,	,	PUNCT
ejpam-5796	7	8	16w10	16w10	NUM
ejpam-5796	7	9	,	,	PUNCT
ejpam-5796	7	10	47b47	47b47	VERB
ejpam-5796	7	11	key	key	ADJ
ejpam-5796	7	12	words	word	NOUN
ejpam-5796	7	13	and	and	CCONJ
ejpam-5796	7	14	phrases	phrase	NOUN
ejpam-5796	7	15	:	:	PUNCT
ejpam-5796	7	16	exponentiated	exponentiate	VERB
ejpam-5796	7	17	exponential	exponential	ADJ
ejpam-5796	7	18	distribution	distribution	NOUN
ejpam-5796	7	19	,	,	PUNCT
ejpam-5796	7	20	truncated	truncate	VERB
ejpam-5796	7	21	exponenetiated	exponenetiate	VERB
ejpam-5796	7	22	,	,	PUNCT
ejpam-5796	7	23	exponential	exponential	ADJ
ejpam-5796	7	24	distribution	distribution	NOUN
ejpam-5796	7	25	,	,	PUNCT
ejpam-5796	7	26	entropy	entropy	PROPN
ejpam-5796	7	27	1	1	NUM
ejpam-5796	7	28	.	.	PUNCT
ejpam-5796	8	1	introduction	introduction	NOUN
ejpam-5796	8	2	in	in	ADP
ejpam-5796	8	3	probability	probability	NOUN
ejpam-5796	8	4	theory	theory	NOUN
ejpam-5796	8	5	,	,	PUNCT
ejpam-5796	8	6	information	information	NOUN
ejpam-5796	8	7	theory	theory	NOUN
ejpam-5796	8	8	plays	play	VERB
ejpam-5796	8	9	a	a	DET
ejpam-5796	8	10	vital	vital	ADJ
ejpam-5796	8	11	role	role	NOUN
ejpam-5796	8	12	,	,	PUNCT
ejpam-5796	8	13	which	which	PRON
ejpam-5796	8	14	is	be	AUX
ejpam-5796	8	15	the	the	DET
ejpam-5796	8	16	basis	basis	NOUN
ejpam-5796	8	17	of	of	ADP
ejpam-5796	8	18	reliability	reliability	NOUN
ejpam-5796	8	19	theory	theory	NOUN
ejpam-5796	8	20	,	,	PUNCT
ejpam-5796	8	21	communication	communication	NOUN
ejpam-5796	8	22	systems	system	NOUN
ejpam-5796	8	23	,	,	PUNCT
ejpam-5796	8	24	and	and	CCONJ
ejpam-5796	8	25	financial	financial	ADJ
ejpam-5796	8	26	characteristics	characteristic	NOUN
ejpam-5796	8	27	.	.	PUNCT
ejpam-5796	9	1	claude	claude	PROPN
ejpam-5796	9	2	shannon	shannon	PROPN
ejpam-5796	9	3	gave	give	VERB
ejpam-5796	9	4	the	the	DET
ejpam-5796	9	5	idea	idea	NOUN
ejpam-5796	9	6	of	of	ADP
ejpam-5796	9	7	information	information	NOUN
ejpam-5796	9	8	theory	theory	NOUN
ejpam-5796	9	9	in	in	ADP
ejpam-5796	9	10	1948	1948	NUM
ejpam-5796	9	11	,	,	PUNCT
ejpam-5796	9	12	which	which	PRON
ejpam-5796	9	13	is	be	AUX
ejpam-5796	9	14	also	also	ADV
ejpam-5796	9	15	known	know	VERB
ejpam-5796	9	16	as	as	ADP
ejpam-5796	9	17	shannon	shannon	PROPN
ejpam-5796	9	18	entropy	entropy	PROPN
ejpam-5796	9	19	[	[	X
ejpam-5796	9	20	1	1	NUM
ejpam-5796	9	21	]	]	PUNCT
ejpam-5796	9	22	.	.	PUNCT
ejpam-5796	10	1	it	it	PRON
ejpam-5796	10	2	is	be	AUX
ejpam-5796	10	3	a	a	DET
ejpam-5796	10	4	connection	connection	NOUN
ejpam-5796	10	5	point	point	NOUN
ejpam-5796	10	6	between	between	ADP
ejpam-5796	10	7	several	several	ADJ
ejpam-5796	10	8	fields	field	NOUN
ejpam-5796	10	9	such	such	ADJ
ejpam-5796	10	10	as	as	ADP
ejpam-5796	10	11	mathematics	mathematic	NOUN
ejpam-5796	10	12	,	,	PUNCT
ejpam-5796	10	13	statistics	statistic	NOUN
ejpam-5796	10	14	,	,	PUNCT
ejpam-5796	10	15	computer	computer	NOUN
ejpam-5796	10	16	science	science	NOUN
ejpam-5796	10	17	,	,	PUNCT
ejpam-5796	10	18	physics	physics	NOUN
ejpam-5796	10	19	,	,	PUNCT
ejpam-5796	10	20	engineering	engineering	NOUN
ejpam-5796	10	21	,	,	PUNCT
ejpam-5796	10	22	etc	etc	X
ejpam-5796	10	23	.	.	X
ejpam-5796	11	1	in	in	ADP
ejpam-5796	11	2	addition	addition	NOUN
ejpam-5796	11	3	,	,	PUNCT
ejpam-5796	11	4	it	it	PRON
ejpam-5796	11	5	has	have	VERB
ejpam-5796	11	6	diverse	diverse	ADJ
ejpam-5796	11	7	applications	application	NOUN
ejpam-5796	11	8	including	include	VERB
ejpam-5796	11	9	natural	natural	ADJ
ejpam-5796	11	10	language	language	NOUN
ejpam-5796	11	11	processing	processing	NOUN
ejpam-5796	11	12	,	,	PUNCT
ejpam-5796	11	13	linguistics	linguistic	NOUN
ejpam-5796	11	14	,	,	PUNCT
ejpam-5796	11	15	statistical	statistical	ADJ
ejpam-5796	11	16	inference	inference	NOUN
ejpam-5796	11	17	,	,	PUNCT
ejpam-5796	11	18	fuzzy	fuzzy	ADJ
ejpam-5796	11	19	entropy	entropy	NOUN
ejpam-5796	11	20	,	,	PUNCT
ejpam-5796	11	21	cryptography	cryptography	NOUN
ejpam-5796	11	22	,	,	PUNCT
ejpam-5796	11	23	∗corresponding	∗corresponde	VERB
ejpam-5796	11	24	author	author	NOUN
ejpam-5796	11	25	.	.	PUNCT
ejpam-5796	12	1	doi	doi	NOUN
ejpam-5796	12	2	:	:	PUNCT
ejpam-5796	12	3	https://doi.org/10.29020/nybg.ejpam.v18i2.5796	https://doi.org/10.29020/nybg.ejpam.v18i2.5796	PRON
ejpam-5796	12	4	email	email	NOUN
ejpam-5796	12	5	addresses	address	VERB
ejpam-5796	12	6	:	:	PUNCT
ejpam-5796	12	7	javid.dar@sitpune.edu.in	javid.dar@sitpune.edu.in	NOUN
ejpam-5796	12	8	(	(	PUNCT
ejpam-5796	12	9	j.	j.	PROPN
ejpam-5796	12	10	dar	dar	PROPN
ejpam-5796	12	11	)	)	PUNCT
ejpam-5796	12	12	,	,	PUNCT
ejpam-5796	12	13	irsasajjad27@gmail.com	irsasajjad27@gmail.com	PROPN
ejpam-5796	12	14	(	(	PUNCT
ejpam-5796	12	15	i.	i.	PROPN
ejpam-5796	12	16	sajjad	sajjad	PROPN
ejpam-5796	12	17	)	)	PUNCT
ejpam-5796	12	18	,	,	PUNCT
ejpam-5796	12	19	shahidt@sitpune.edu.in	shahidt@sitpune.edu.in	ADV
ejpam-5796	12	20	(	(	PUNCT
ejpam-5796	12	21	s.	s.	PROPN
ejpam-5796	12	22	tamboli	tamboli	PROPN
ejpam-5796	12	23	)	)	PUNCT
ejpam-5796	12	24	https://www.ejpam.com	https://www.ejpam.com	X
ejpam-5796	13	1	1	1	NUM
ejpam-5796	13	2	copyright	copyright	NOUN
ejpam-5796	13	3	:	:	PUNCT
ejpam-5796	13	4	©	©	PROPN
ejpam-5796	13	5	2025	2025	NUM
ejpam-5796	13	6	the	the	DET
ejpam-5796	13	7	author(s	author(s	NOUN
ejpam-5796	13	8	)	)	PUNCT
ejpam-5796	13	9	.	.	PUNCT
ejpam-5796	14	1	(	(	PUNCT
ejpam-5796	14	2	cc	cc	NOUN
ejpam-5796	14	3	by	by	ADP
ejpam-5796	14	4	-	-	PUNCT
ejpam-5796	14	5	nc	nc	PROPN
ejpam-5796	14	6	4.0	4.0	NUM
ejpam-5796	14	7	)	)	PUNCT
ejpam-5796	14	8	j.	j.	PROPN
ejpam-5796	14	9	g.	g.	PROPN
ejpam-5796	14	10	dar	dar	PROPN
ejpam-5796	14	11	,	,	PUNCT
ejpam-5796	14	12	i.	i.	PROPN
ejpam-5796	14	13	sajjad	sajjad	PROPN
ejpam-5796	14	14	,	,	PUNCT
ejpam-5796	14	15	s.	s.	PROPN
ejpam-5796	14	16	tamboli	tamboli	PROPN
ejpam-5796	14	17	/	/	SYM
ejpam-5796	14	18	eur	eur	PROPN
ejpam-5796	14	19	.	.	PUNCT
ejpam-5796	15	1	j.	j.	PROPN
ejpam-5796	15	2	pure	pure	PROPN
ejpam-5796	15	3	appl	appl	PROPN
ejpam-5796	15	4	.	.	PROPN
ejpam-5796	15	5	math	math	PROPN
ejpam-5796	15	6	,	,	PUNCT
ejpam-5796	15	7	18	18	NUM
ejpam-5796	15	8	(	(	PUNCT
ejpam-5796	15	9	2	2	NUM
ejpam-5796	15	10	)	)	PUNCT
ejpam-5796	15	11	(	(	PUNCT
ejpam-5796	15	12	2025	2025	NUM
ejpam-5796	15	13	)	)	PUNCT
ejpam-5796	15	14	,	,	PUNCT
ejpam-5796	15	15	5796	5796	NUM
ejpam-5796	15	16	2	2	NUM
ejpam-5796	15	17	of	of	ADP
ejpam-5796	15	18	17	17	NUM
ejpam-5796	15	19	bioinformatics	bioinformatic	NOUN
ejpam-5796	15	20	,	,	PUNCT
ejpam-5796	15	21	quantum	quantum	NOUN
ejpam-5796	15	22	computer	computer	NOUN
ejpam-5796	15	23	science	science	NOUN
ejpam-5796	15	24	,	,	PUNCT
ejpam-5796	15	25	plagiarism	plagiarism	NOUN
ejpam-5796	15	26	detection	detection	NOUN
ejpam-5796	15	27	,	,	PUNCT
ejpam-5796	15	28	human	human	ADJ
ejpam-5796	15	29	vision	vision	NOUN
ejpam-5796	15	30	[	[	X
ejpam-5796	15	31	2–4	2–4	X
ejpam-5796	15	32	]	]	X
ejpam-5796	15	33	and	and	CCONJ
ejpam-5796	15	34	thermal	thermal	ADJ
ejpam-5796	15	35	physics	physics	NOUN
ejpam-5796	16	1	[	[	X
ejpam-5796	16	2	5	5	NUM
ejpam-5796	16	3	]	]	PUNCT
ejpam-5796	16	4	.	.	PUNCT
ejpam-5796	17	1	moreover	moreover	ADV
ejpam-5796	17	2	,	,	PUNCT
ejpam-5796	17	3	the	the	DET
ejpam-5796	17	4	subfields	subfield	NOUN
ejpam-5796	17	5	of	of	ADP
ejpam-5796	17	6	information	information	NOUN
ejpam-5796	17	7	theory	theory	NOUN
ejpam-5796	17	8	include	include	VERB
ejpam-5796	17	9	algorithm	algorithm	NOUN
ejpam-5796	17	10	complexity	complexity	PROPN
ejpam-5796	17	11	theory	theory	NOUN
ejpam-5796	17	12	,	,	PUNCT
ejpam-5796	17	13	theoretical	theoretical	ADJ
ejpam-5796	17	14	information	information	NOUN
ejpam-5796	17	15	security	security	NOUN
ejpam-5796	17	16	,	,	PUNCT
ejpam-5796	17	17	source	source	NOUN
ejpam-5796	17	18	coding	coding	NOUN
ejpam-5796	17	19	,	,	PUNCT
ejpam-5796	17	20	information	information	NOUN
ejpam-5796	17	21	measurements	measurement	NOUN
ejpam-5796	17	22	,	,	PUNCT
ejpam-5796	17	23	and	and	CCONJ
ejpam-5796	17	24	gray	gray	ADJ
ejpam-5796	17	25	system	system	NOUN
ejpam-5796	17	26	.	.	PUNCT
ejpam-5796	18	1	in	in	ADP
ejpam-5796	18	2	literature	literature	NOUN
ejpam-5796	18	3	,	,	PUNCT
ejpam-5796	18	4	many	many	ADJ
ejpam-5796	18	5	authors	author	NOUN
ejpam-5796	18	6	contributed	contribute	VERB
ejpam-5796	18	7	to	to	ADP
ejpam-5796	18	8	measuring	measure	VERB
ejpam-5796	18	9	entropies	entropy	NOUN
ejpam-5796	18	10	and	and	CCONJ
ejpam-5796	18	11	their	their	PRON
ejpam-5796	18	12	generalization	generalization	NOUN
ejpam-5796	18	13	.	.	PUNCT
ejpam-5796	19	1	[	[	X
ejpam-5796	19	2	6	6	NUM
ejpam-5796	19	3	]	]	PUNCT
ejpam-5796	19	4	defined	define	VERB
ejpam-5796	19	5	the	the	DET
ejpam-5796	19	6	seven	seven	NUM
ejpam-5796	19	7	entropy	entropy	NOUN
ejpam-5796	19	8	measures	measure	NOUN
ejpam-5796	19	9	of	of	ADP
ejpam-5796	19	10	truncated	truncated	ADJ
ejpam-5796	19	11	rayleigh	rayleigh	NOUN
ejpam-5796	19	12	distribution	distribution	NOUN
ejpam-5796	19	13	instead	instead	ADV
ejpam-5796	19	14	of	of	ADP
ejpam-5796	19	15	rayleigh	rayleigh	NOUN
ejpam-5796	19	16	distribution	distribution	NOUN
ejpam-5796	19	17	and	and	CCONJ
ejpam-5796	19	18	computed	compute	VERB
ejpam-5796	19	19	the	the	DET
ejpam-5796	19	20	relative	relative	ADJ
ejpam-5796	19	21	loss	loss	NOUN
ejpam-5796	19	22	of	of	ADP
ejpam-5796	19	23	entropy	entropy	PROPN
ejpam-5796	19	24	.	.	PUNCT
ejpam-5796	20	1	we	we	PRON
ejpam-5796	20	2	initiated	initiate	VERB
ejpam-5796	20	3	this	this	DET
ejpam-5796	20	4	investigation	investigation	NOUN
ejpam-5796	20	5	due	due	ADP
ejpam-5796	20	6	to	to	ADP
ejpam-5796	20	7	the	the	DET
ejpam-5796	20	8	increasing	increase	VERB
ejpam-5796	20	9	need	need	NOUN
ejpam-5796	20	10	to	to	PART
ejpam-5796	20	11	understand	understand	VERB
ejpam-5796	20	12	entropy	entropy	NOUN
ejpam-5796	20	13	measures	measure	NOUN
ejpam-5796	20	14	for	for	ADP
ejpam-5796	20	15	two	two	NUM
ejpam-5796	20	16	special	special	ADJ
ejpam-5796	20	17	distribution	distribution	NOUN
ejpam-5796	20	18	types	type	NOUN
ejpam-5796	20	19	.	.	PUNCT
ejpam-5796	21	1	scientists	scientist	NOUN
ejpam-5796	21	2	and	and	CCONJ
ejpam-5796	21	3	researchers	researcher	NOUN
ejpam-5796	21	4	depend	depend	VERB
ejpam-5796	21	5	heavily	heavily	ADV
ejpam-5796	21	6	on	on	ADP
ejpam-5796	21	7	exponentiated	exponentiated	ADJ
ejpam-5796	21	8	exponential	exponential	NOUN
ejpam-5796	21	9	and	and	CCONJ
ejpam-5796	21	10	truncated	truncated	ADJ
ejpam-5796	21	11	exponentiated	exponentiated	ADJ
ejpam-5796	21	12	exponential	exponential	ADJ
ejpam-5796	21	13	distributions	distribution	NOUN
ejpam-5796	21	14	because	because	SCONJ
ejpam-5796	21	15	they	they	PRON
ejpam-5796	21	16	handle	handle	VERB
ejpam-5796	21	17	lifetime	lifetime	NOUN
ejpam-5796	21	18	data	datum	NOUN
ejpam-5796	21	19	,	,	PUNCT
ejpam-5796	21	20	reliability	reliability	NOUN
ejpam-5796	21	21	analysis	analysis	NOUN
ejpam-5796	21	22	,	,	PUNCT
ejpam-5796	21	23	and	and	CCONJ
ejpam-5796	21	24	survival	survival	NOUN
ejpam-5796	21	25	studies	study	NOUN
ejpam-5796	21	26	effectively	effectively	ADV
ejpam-5796	21	27	.	.	PUNCT
ejpam-5796	22	1	deep	deep	ADJ
ejpam-5796	22	2	knowledge	knowledge	NOUN
ejpam-5796	22	3	of	of	ADP
ejpam-5796	22	4	the	the	DET
ejpam-5796	22	5	entropy	entropy	NOUN
ejpam-5796	22	6	measures	measure	NOUN
ejpam-5796	22	7	for	for	ADP
ejpam-5796	22	8	these	these	DET
ejpam-5796	22	9	distributions	distribution	NOUN
ejpam-5796	22	10	helps	help	VERB
ejpam-5796	22	11	us	we	PRON
ejpam-5796	22	12	better	well	ADV
ejpam-5796	22	13	explain	explain	VERB
ejpam-5796	22	14	their	their	PRON
ejpam-5796	22	15	randomness	randomness	NOUN
ejpam-5796	22	16	characteristics	characteristic	NOUN
ejpam-5796	22	17	.	.	PUNCT
ejpam-5796	23	1	this	this	DET
ejpam-5796	23	2	research	research	NOUN
ejpam-5796	23	3	examines	examine	VERB
ejpam-5796	23	4	entropy	entropy	NOUN
ejpam-5796	23	5	values	value	NOUN
ejpam-5796	23	6	of	of	ADP
ejpam-5796	23	7	these	these	DET
ejpam-5796	23	8	distributions	distribution	NOUN
ejpam-5796	23	9	to	to	PART
ejpam-5796	23	10	show	show	VERB
ejpam-5796	23	11	their	their	PRON
ejpam-5796	23	12	actual	actual	ADJ
ejpam-5796	23	13	performance	performance	NOUN
ejpam-5796	23	14	characteristics	characteristic	NOUN
ejpam-5796	23	15	for	for	ADP
ejpam-5796	23	16	different	different	ADJ
ejpam-5796	23	17	applications	application	NOUN
ejpam-5796	23	18	.	.	PUNCT
ejpam-5796	24	1	new	new	ADJ
ejpam-5796	24	2	statistical	statistical	ADJ
ejpam-5796	24	3	information	information	NOUN
ejpam-5796	24	4	will	will	AUX
ejpam-5796	24	5	benefit	benefit	VERB
ejpam-5796	24	6	areas	area	NOUN
ejpam-5796	24	7	of	of	ADP
ejpam-5796	24	8	practical	practical	ADJ
ejpam-5796	24	9	application	application	NOUN
ejpam-5796	24	10	while	while	SCONJ
ejpam-5796	24	11	helping	help	VERB
ejpam-5796	24	12	researchers	researcher	NOUN
ejpam-5796	24	13	understand	understand	VERB
ejpam-5796	24	14	distribution	distribution	NOUN
ejpam-5796	24	15	qualities	quality	NOUN
ejpam-5796	24	16	better	well	ADV
ejpam-5796	24	17	.	.	PUNCT
ejpam-5796	25	1	2	2	X
ejpam-5796	25	2	.	.	X
ejpam-5796	25	3	several	several	ADJ
ejpam-5796	25	4	entropy	entropy	NOUN
ejpam-5796	25	5	measures	measure	VERB
ejpam-5796	25	6	the	the	DET
ejpam-5796	25	7	mathematical	mathematical	ADJ
ejpam-5796	25	8	expression	expression	NOUN
ejpam-5796	25	9	of	of	ADP
ejpam-5796	25	10	shannon	shannon	PROPN
ejpam-5796	25	11	entropy	entropy	PROPN
ejpam-5796	25	12	ξs(y	ξs(y	NUM
ejpam-5796	25	13	)	)	PUNCT
ejpam-5796	26	1	=	=	SYM
ejpam-5796	27	1	−	−	PROPN
ejpam-5796	27	2	∫	∫	PROPN
ejpam-5796	28	1	+	+	NOUN
ejpam-5796	28	2	∞	∞	PROPN
ejpam-5796	28	3	−∞	−∞	X
ejpam-5796	28	4	g(y	g(y	PROPN
ejpam-5796	28	5	)	)	PUNCT
ejpam-5796	28	6	ln	ln	NOUN
ejpam-5796	28	7	g(y)dy	g(y)dy	NOUN
ejpam-5796	28	8	(	(	PUNCT
ejpam-5796	28	9	1	1	NUM
ejpam-5796	28	10	)	)	PUNCT
ejpam-5796	28	11	the	the	DET
ejpam-5796	28	12	only	only	ADJ
ejpam-5796	28	13	shortcoming	shortcoming	NOUN
ejpam-5796	28	14	of	of	ADP
ejpam-5796	28	15	shannon	shannon	PROPN
ejpam-5796	28	16	entropy	entropy	PROPN
ejpam-5796	28	17	is	be	AUX
ejpam-5796	28	18	that	that	SCONJ
ejpam-5796	28	19	it	it	PRON
ejpam-5796	28	20	may	may	AUX
ejpam-5796	28	21	produce	produce	VERB
ejpam-5796	28	22	negative	negative	ADJ
ejpam-5796	28	23	results	result	NOUN
ejpam-5796	28	24	for	for	ADP
ejpam-5796	28	25	some	some	DET
ejpam-5796	28	26	probability	probability	NOUN
ejpam-5796	28	27	models	model	NOUN
ejpam-5796	28	28	,	,	PUNCT
ejpam-5796	28	29	which	which	PRON
ejpam-5796	28	30	is	be	AUX
ejpam-5796	28	31	not	not	PART
ejpam-5796	28	32	possible	possible	ADJ
ejpam-5796	28	33	for	for	ADP
ejpam-5796	28	34	uncertainty	uncertainty	NOUN
ejpam-5796	28	35	measures	measure	NOUN
ejpam-5796	28	36	.	.	PUNCT
ejpam-5796	29	1	many	many	ADJ
ejpam-5796	29	2	authors	author	NOUN
ejpam-5796	29	3	contributed	contribute	VERB
ejpam-5796	29	4	to	to	ADP
ejpam-5796	29	5	overcoming	overcome	VERB
ejpam-5796	29	6	this	this	DET
ejpam-5796	29	7	problem	problem	NOUN
ejpam-5796	29	8	and	and	CCONJ
ejpam-5796	29	9	proposed	propose	VERB
ejpam-5796	29	10	different	different	ADJ
ejpam-5796	29	11	entropy	entropy	NOUN
ejpam-5796	29	12	measures	measure	NOUN
ejpam-5796	29	13	.	.	PUNCT
ejpam-5796	30	1	[	[	X
ejpam-5796	30	2	7	7	NUM
ejpam-5796	30	3	]	]	PUNCT
ejpam-5796	30	4	gave	give	VERB
ejpam-5796	30	5	the	the	DET
ejpam-5796	30	6	idea	idea	NOUN
ejpam-5796	30	7	of	of	ADP
ejpam-5796	30	8	randomness	randomness	NOUN
ejpam-5796	30	9	and	and	CCONJ
ejpam-5796	30	10	uncertainty	uncertainty	NOUN
ejpam-5796	30	11	and	and	CCONJ
ejpam-5796	30	12	gave	give	VERB
ejpam-5796	30	13	a	a	DET
ejpam-5796	30	14	new	new	ADJ
ejpam-5796	30	15	generalized	generalized	ADJ
ejpam-5796	30	16	entropy	entropy	NOUN
ejpam-5796	30	17	.	.	PUNCT
ejpam-5796	31	1	the	the	DET
ejpam-5796	31	2	renyi	renyi	PROPN
ejpam-5796	31	3	entropy	entropy	PROPN
ejpam-5796	31	4	[	[	X
ejpam-5796	31	5	8	8	NUM
ejpam-5796	31	6	]	]	PUNCT
ejpam-5796	31	7	is	be	AUX
ejpam-5796	31	8	as	as	SCONJ
ejpam-5796	31	9	follows	follow	VERB
ejpam-5796	31	10	:	:	PUNCT
ejpam-5796	31	11	ξr(y	ξr(y	ADJ
ejpam-5796	31	12	)	)	PUNCT
ejpam-5796	31	13	=	=	SYM
ejpam-5796	32	1	1	1	NUM
ejpam-5796	32	2	1−	1−	NUM
ejpam-5796	32	3	ς	ς	PROPN
ejpam-5796	32	4	log	log	NOUN
ejpam-5796	32	5	(	(	PUNCT
ejpam-5796	32	6	∫	∫	PROPN
ejpam-5796	32	7	+	+	PROPN
ejpam-5796	32	8	∞	∞	PROPN
ejpam-5796	32	9	−∞	−∞	ADP
ejpam-5796	32	10	[	[	X
ejpam-5796	32	11	g(y)]ςdy	g(y)]ςdy	NOUN
ejpam-5796	32	12	)	)	PUNCT
ejpam-5796	32	13	,	,	PUNCT
ejpam-5796	32	14	ς	ς	PROPN
ejpam-5796	32	15	>	>	X
ejpam-5796	32	16	0	0	NUM
ejpam-5796	32	17	,	,	PUNCT
ejpam-5796	32	18	ς	ς	PROPN
ejpam-5796	32	19	̸=	̸=	PROPN
ejpam-5796	32	20	1	1	NUM
ejpam-5796	32	21	(	(	PUNCT
ejpam-5796	32	22	2	2	X
ejpam-5796	32	23	)	)	PUNCT
ejpam-5796	32	24	it	it	PRON
ejpam-5796	32	25	gives	give	VERB
ejpam-5796	32	26	a	a	DET
ejpam-5796	32	27	non	non	ADJ
ejpam-5796	32	28	-	-	ADJ
ejpam-5796	32	29	negative	negative	ADJ
ejpam-5796	32	30	result	result	NOUN
ejpam-5796	32	31	due	due	ADP
ejpam-5796	32	32	to	to	ADP
ejpam-5796	32	33	the	the	DET
ejpam-5796	32	34	constant	constant	ADJ
ejpam-5796	32	35	ς	ς	PROPN
ejpam-5796	32	36	involved	involve	VERB
ejpam-5796	32	37	in	in	ADP
ejpam-5796	32	38	the	the	DET
ejpam-5796	32	39	expression	expression	NOUN
ejpam-5796	32	40	.	.	PUNCT
ejpam-5796	33	1	[	[	X
ejpam-5796	33	2	7	7	X
ejpam-5796	33	3	]	]	PUNCT
ejpam-5796	33	4	discussed	discuss	VERB
ejpam-5796	33	5	entropy	entropy	NOUN
ejpam-5796	33	6	as	as	ADP
ejpam-5796	33	7	ξhc	ξhc	NOUN
ejpam-5796	33	8	(	(	PUNCT
ejpam-5796	33	9	y	y	NOUN
ejpam-5796	33	10	)	)	PUNCT
ejpam-5796	33	11	=	=	SYM
ejpam-5796	34	1	1	1	NUM
ejpam-5796	34	2	21−ς	21−ς	NUM
ejpam-5796	34	3	−	−	NUM
ejpam-5796	34	4	1	1	NUM
ejpam-5796	35	1	[	[	X
ejpam-5796	35	2	∫	∫	X
ejpam-5796	36	1	+	+	NOUN
ejpam-5796	36	2	∞	∞	PROPN
ejpam-5796	36	3	−∞	−∞	X
ejpam-5796	36	4	[	[	X
ejpam-5796	36	5	g(y)]ςdy	g(y)]ςdy	NOUN
ejpam-5796	36	6	−	−	NOUN
ejpam-5796	36	7	1	1	NUM
ejpam-5796	36	8	]	]	PUNCT
ejpam-5796	36	9	ς	ς	PROPN
ejpam-5796	36	10	>	>	X
ejpam-5796	36	11	0	0	NUM
ejpam-5796	36	12	,	,	PUNCT
ejpam-5796	36	13	ς	ς	PROPN
ejpam-5796	36	14	̸=	̸=	PROPN
ejpam-5796	36	15	0	0	NUM
ejpam-5796	36	16	(	(	PUNCT
ejpam-5796	36	17	3	3	X
ejpam-5796	36	18	)	)	PUNCT
ejpam-5796	36	19	[	[	X
ejpam-5796	36	20	9	9	NUM
ejpam-5796	36	21	]	]	PUNCT
ejpam-5796	36	22	investigated	investigate	VERB
ejpam-5796	36	23	the	the	DET
ejpam-5796	36	24	entropy	entropy	NOUN
ejpam-5796	36	25	is	be	AUX
ejpam-5796	36	26	ξar(y	ξar(y	VERB
ejpam-5796	36	27	)	)	PUNCT
ejpam-5796	36	28	=	=	SYM
ejpam-5796	36	29	1	1	NUM
ejpam-5796	36	30	2ς−1	2ς−1	NUM
ejpam-5796	36	31	−	−	NOUN
ejpam-5796	36	32	1	1	NUM
ejpam-5796	37	1	[	[	X
ejpam-5796	37	2	∫	∫	X
ejpam-5796	38	1	+	+	NOUN
ejpam-5796	38	2	∞	∞	PROPN
ejpam-5796	38	3	−∞	−∞	X
ejpam-5796	38	4	[	[	X
ejpam-5796	38	5	g(y)]ςdy	g(y)]ςdy	X
ejpam-5796	38	6	]	]	X
ejpam-5796	38	7	ς	ς	X
ejpam-5796	38	8	−	−	PROPN
ejpam-5796	38	9	1	1	NUM
ejpam-5796	38	10	ς	ς	PROPN
ejpam-5796	38	11	>	>	X
ejpam-5796	38	12	0	0	NUM
ejpam-5796	38	13	,	,	PUNCT
ejpam-5796	38	14	ς	ς	PROPN
ejpam-5796	38	15	̸=	̸=	PROPN
ejpam-5796	38	16	0	0	NUM
ejpam-5796	38	17	(	(	PUNCT
ejpam-5796	38	18	4	4	NUM
ejpam-5796	38	19	)	)	PUNCT
ejpam-5796	38	20	[	[	X
ejpam-5796	38	21	10	10	NUM
ejpam-5796	38	22	]	]	PUNCT
ejpam-5796	38	23	used	use	VERB
ejpam-5796	38	24	entropy	entropy	NOUN
ejpam-5796	38	25	as	as	ADP
ejpam-5796	38	26	j.	j.	PROPN
ejpam-5796	38	27	g.	g.	PROPN
ejpam-5796	38	28	dar	dar	PROPN
ejpam-5796	38	29	,	,	PUNCT
ejpam-5796	38	30	i.	i.	PROPN
ejpam-5796	38	31	sajjad	sajjad	PROPN
ejpam-5796	38	32	,	,	PUNCT
ejpam-5796	38	33	s.	s.	PROPN
ejpam-5796	38	34	tamboli	tamboli	PROPN
ejpam-5796	38	35	/	/	SYM
ejpam-5796	38	36	eur	eur	PROPN
ejpam-5796	38	37	.	.	PUNCT
ejpam-5796	39	1	j.	j.	PROPN
ejpam-5796	39	2	pure	pure	PROPN
ejpam-5796	39	3	appl	appl	PROPN
ejpam-5796	39	4	.	.	PROPN
ejpam-5796	39	5	math	math	PROPN
ejpam-5796	39	6	,	,	PUNCT
ejpam-5796	39	7	18	18	NUM
ejpam-5796	39	8	(	(	PUNCT
ejpam-5796	39	9	2	2	NUM
ejpam-5796	39	10	)	)	PUNCT
ejpam-5796	39	11	(	(	PUNCT
ejpam-5796	39	12	2025	2025	NUM
ejpam-5796	39	13	)	)	PUNCT
ejpam-5796	39	14	,	,	PUNCT
ejpam-5796	39	15	5796	5796	NUM
ejpam-5796	39	16	3	3	NUM
ejpam-5796	39	17	of	of	ADP
ejpam-5796	39	18	17	17	NUM
ejpam-5796	39	19	ξsm	ξsm	NOUN
ejpam-5796	39	20	(	(	PUNCT
ejpam-5796	39	21	y	y	NOUN
ejpam-5796	39	22	)	)	PUNCT
ejpam-5796	39	23	=	=	SYM
ejpam-5796	40	1	1	1	NUM
ejpam-5796	40	2	21−ς	21−ς	NUM
ejpam-5796	40	3	−	−	NUM
ejpam-5796	40	4	1	1	NUM
ejpam-5796	40	5	[	[	PUNCT
ejpam-5796	40	6	exp	exp	X
ejpam-5796	40	7	{	{	PUNCT
ejpam-5796	40	8	(	(	PUNCT
ejpam-5796	40	9	ς	ς	PROPN
ejpam-5796	40	10	−	−	PROPN
ejpam-5796	40	11	1	1	NUM
ejpam-5796	40	12	)	)	PUNCT
ejpam-5796	40	13	∫	∫	PROPN
ejpam-5796	41	1	+	+	PROPN
ejpam-5796	41	2	∞	∞	PROPN
ejpam-5796	41	3	−∞	−∞	X
ejpam-5796	41	4	g(y	g(y	PROPN
ejpam-5796	41	5	)	)	PUNCT
ejpam-5796	41	6	ln	ln	NOUN
ejpam-5796	41	7	g(y)dy	g(y)dy	NOUN
ejpam-5796	41	8	}	}	PUNCT
ejpam-5796	41	9	−	−	PROPN
ejpam-5796	41	10	1	1	NUM
ejpam-5796	41	11	]	]	PUNCT
ejpam-5796	41	12	ς	ς	PROPN
ejpam-5796	41	13	>	>	X
ejpam-5796	41	14	0	0	NUM
ejpam-5796	41	15	,	,	PUNCT
ejpam-5796	41	16	ς	ς	PROPN
ejpam-5796	41	17	̸=	̸=	PROPN
ejpam-5796	41	18	1	1	NUM
ejpam-5796	41	19	(	(	PUNCT
ejpam-5796	41	20	5	5	NUM
ejpam-5796	41	21	)	)	PUNCT
ejpam-5796	42	1	[	[	X
ejpam-5796	42	2	11	11	NUM
ejpam-5796	42	3	]	]	PUNCT
ejpam-5796	42	4	derived	derive	VERB
ejpam-5796	42	5	generalized	generalize	VERB
ejpam-5796	42	6	entropy	entropy	NOUN
ejpam-5796	42	7	as	as	ADP
ejpam-5796	42	8	ξa1(y	ξa1(y	PROPN
ejpam-5796	42	9	)	)	PUNCT
ejpam-5796	43	1	=	=	PUNCT
ejpam-5796	44	1	−	−	PROPN
ejpam-5796	44	2	∫	∫	PROPN
ejpam-5796	45	1	+	+	NOUN
ejpam-5796	45	2	∞	∞	PROPN
ejpam-5796	45	3	−∞	−∞	X
ejpam-5796	45	4	g(y	g(y	PROPN
ejpam-5796	45	5	)	)	PUNCT
ejpam-5796	45	6	ln	ln	NOUN
ejpam-5796	45	7	[	[	PUNCT
ejpam-5796	45	8	g(y	g(y	PROPN
ejpam-5796	45	9	)	)	PUNCT
ejpam-5796	45	10	δ	δ	NOUN
ejpam-5796	45	11	]	]	PUNCT
ejpam-5796	46	1	dy	dy	X
ejpam-5796	46	2	;	;	PUNCT
ejpam-5796	46	3	δ	δ	PROPN
ejpam-5796	46	4	=	=	SYM
ejpam-5796	46	5	sup[g(y	sup[g(y	NOUN
ejpam-5796	46	6	)	)	PUNCT
ejpam-5796	46	7	]	]	PUNCT
ejpam-5796	46	8	(	(	PUNCT
ejpam-5796	46	9	6	6	NUM
ejpam-5796	46	10	)	)	PUNCT
ejpam-5796	47	1	[	[	X
ejpam-5796	47	2	11	11	NUM
ejpam-5796	47	3	]	]	PUNCT
ejpam-5796	47	4	produced	produce	VERB
ejpam-5796	47	5	generalization	generalization	NOUN
ejpam-5796	47	6	of	of	ADP
ejpam-5796	47	7	renyi	renyi	PROPN
ejpam-5796	47	8	entropy	entropy	PROPN
ejpam-5796	47	9	,	,	PUNCT
ejpam-5796	47	10	ξa2(y	ξa2(y	NOUN
ejpam-5796	47	11	)	)	PUNCT
ejpam-5796	47	12	=	=	SYM
ejpam-5796	48	1	1	1	NUM
ejpam-5796	48	2	ς	ς	NOUN
ejpam-5796	48	3	−	−	PROPN
ejpam-5796	48	4	1	1	NUM
ejpam-5796	48	5	ln	ln	NOUN
ejpam-5796	49	1	[	[	X
ejpam-5796	49	2	∫	∫	X
ejpam-5796	49	3	+	+	NOUN
ejpam-5796	49	4	∞	∞	PROPN
ejpam-5796	49	5	−∞	−∞	ADP
ejpam-5796	49	6	[	[	X
ejpam-5796	49	7	g(y)]ς	g(y)]ς	PROPN
ejpam-5796	49	8	δς−1	δς−1	PROPN
ejpam-5796	49	9	dy	dy	VERB
ejpam-5796	49	10	]	]	X
ejpam-5796	49	11	ς	ς	PROPN
ejpam-5796	49	12	>	>	X
ejpam-5796	49	13	0	0	NUM
ejpam-5796	49	14	,	,	PUNCT
ejpam-5796	49	15	ς	ς	PROPN
ejpam-5796	49	16	̸=	̸=	PROPN
ejpam-5796	49	17	1	1	NUM
ejpam-5796	49	18	(	(	PUNCT
ejpam-5796	49	19	7	7	NUM
ejpam-5796	49	20	)	)	PUNCT
ejpam-5796	49	21	[	[	X
ejpam-5796	49	22	7	7	X
ejpam-5796	49	23	]	]	PUNCT
ejpam-5796	49	24	derived	derive	VERB
ejpam-5796	49	25	the	the	DET
ejpam-5796	49	26	generalized	generalize	VERB
ejpam-5796	49	27	of	of	ADP
ejpam-5796	49	28	havrda	havrda	PROPN
ejpam-5796	49	29	and	and	CCONJ
ejpam-5796	49	30	charvat	charvat	PROPN
ejpam-5796	49	31	entropy	entropy	NOUN
ejpam-5796	49	32	,	,	PUNCT
ejpam-5796	49	33	ξa3(y	ξa3(y	NUM
ejpam-5796	49	34	)	)	PUNCT
ejpam-5796	49	35	=	=	SYM
ejpam-5796	50	1	1	1	NUM
ejpam-5796	50	2	21−ς	21−ς	NUM
ejpam-5796	50	3	−	−	NUM
ejpam-5796	50	4	1	1	NUM
ejpam-5796	51	1	[	[	X
ejpam-5796	51	2	∫	∫	X
ejpam-5796	51	3	+	+	NOUN
ejpam-5796	51	4	∞	∞	PROPN
ejpam-5796	51	5	−∞	−∞	ADP
ejpam-5796	51	6	[	[	X
ejpam-5796	51	7	g(y)]ς	g(y)]ς	PROPN
ejpam-5796	51	8	δς−1	δς−1	PROPN
ejpam-5796	51	9	dy	dy	NOUN
ejpam-5796	51	10	−	−	PROPN
ejpam-5796	51	11	1	1	NUM
ejpam-5796	51	12	]	]	PUNCT
ejpam-5796	51	13	ς	ς	PROPN
ejpam-5796	51	14	>	>	X
ejpam-5796	51	15	0	0	NUM
ejpam-5796	51	16	,	,	PUNCT
ejpam-5796	51	17	ς	ς	PROPN
ejpam-5796	51	18	̸=	̸=	PROPN
ejpam-5796	51	19	1	1	NUM
ejpam-5796	51	20	(	(	PUNCT
ejpam-5796	51	21	8)	8)	NUM
ejpam-5796	51	22	[	[	X
ejpam-5796	51	23	12	12	NUM
ejpam-5796	51	24	]	]	PUNCT
ejpam-5796	51	25	defined	define	VERB
ejpam-5796	51	26	the	the	DET
ejpam-5796	51	27	generalized	generalize	VERB
ejpam-5796	51	28	entropy	entropy	NOUN
ejpam-5796	51	29	as	as	ADP
ejpam-5796	51	30	ξt	ξt	X
ejpam-5796	51	31	(	(	PUNCT
ejpam-5796	51	32	y	y	NOUN
ejpam-5796	51	33	)	)	PUNCT
ejpam-5796	51	34	=	=	SYM
ejpam-5796	52	1	1	1	NUM
ejpam-5796	52	2	ς	ς	NOUN
ejpam-5796	52	3	−	−	PROPN
ejpam-5796	52	4	1	1	NUM
ejpam-5796	52	5	[	[	PUNCT
ejpam-5796	52	6	1−	1−	NUM
ejpam-5796	52	7	∫	∫	NOUN
ejpam-5796	53	1	+	+	NOUN
ejpam-5796	53	2	∞	∞	PROPN
ejpam-5796	53	3	−∞	−∞	X
ejpam-5796	53	4	[	[	X
ejpam-5796	53	5	g(y)]ςdy	g(y)]ςdy	X
ejpam-5796	53	6	]	]	X
ejpam-5796	53	7	ς	ς	X
ejpam-5796	53	8	>	>	X
ejpam-5796	53	9	0	0	NUM
ejpam-5796	53	10	,	,	PUNCT
ejpam-5796	53	11	ς	ς	PROPN
ejpam-5796	53	12	̸=	̸=	PROPN
ejpam-5796	53	13	1	1	NUM
ejpam-5796	53	14	(	(	PUNCT
ejpam-5796	53	15	9	9	NUM
ejpam-5796	53	16	)	)	PUNCT
ejpam-5796	53	17	the	the	DET
ejpam-5796	53	18	aim	aim	NOUN
ejpam-5796	53	19	of	of	ADP
ejpam-5796	53	20	present	present	ADJ
ejpam-5796	53	21	study	study	NOUN
ejpam-5796	53	22	is	be	AUX
ejpam-5796	53	23	to	to	PART
ejpam-5796	53	24	derive	derive	VERB
ejpam-5796	53	25	the	the	DET
ejpam-5796	53	26	entropy	entropy	NOUN
ejpam-5796	53	27	measures	measure	NOUN
ejpam-5796	53	28	for	for	ADP
ejpam-5796	53	29	exponetiated	exponetiate	VERB
ejpam-5796	53	30	exponential	exponential	ADJ
ejpam-5796	53	31	distribution	distribution	NOUN
ejpam-5796	53	32	and	and	CCONJ
ejpam-5796	53	33	truncated	truncate	VERB
ejpam-5796	53	34	exponetiated	exponetiate	VERB
ejpam-5796	53	35	exponential	exponential	ADJ
ejpam-5796	53	36	distribution	distribution	NOUN
ejpam-5796	53	37	,	,	PUNCT
ejpam-5796	53	38	and	and	CCONJ
ejpam-5796	53	39	compared	compare	VERB
ejpam-5796	53	40	the	the	DET
ejpam-5796	53	41	relative	relative	ADJ
ejpam-5796	53	42	loss	loss	NOUN
ejpam-5796	53	43	of	of	ADP
ejpam-5796	53	44	entropy	entropy	NOUN
ejpam-5796	53	45	under	under	ADP
ejpam-5796	53	46	different	different	ADJ
ejpam-5796	53	47	parametric	parametric	ADJ
ejpam-5796	53	48	values	value	NOUN
ejpam-5796	53	49	.	.	PUNCT
ejpam-5796	54	1	3	3	X
ejpam-5796	54	2	.	.	X
ejpam-5796	54	3	exponentiated	exponentiate	VERB
ejpam-5796	54	4	exponential	exponential	ADJ
ejpam-5796	54	5	distribution	distribution	NOUN
ejpam-5796	54	6	(	(	PUNCT
ejpam-5796	54	7	eed	eed	PROPN
ejpam-5796	54	8	)	)	PUNCT
ejpam-5796	54	9	and	and	CCONJ
ejpam-5796	54	10	truncated	truncate	VERB
ejpam-5796	54	11	exponentiated	exponentiate	VERB
ejpam-5796	54	12	exponential	exponential	ADJ
ejpam-5796	54	13	distribution	distribution	NOUN
ejpam-5796	54	14	(	(	PUNCT
ejpam-5796	54	15	teed	teed	NOUN
ejpam-5796	54	16	):	):	PUNCT
ejpam-5796	54	17	let	let	VERB
ejpam-5796	54	18	’	'	PUNCT
ejpam-5796	54	19	y	y	X
ejpam-5796	54	20	’	'	PUNCT
ejpam-5796	54	21	be	be	AUX
ejpam-5796	54	22	a	a	DET
ejpam-5796	54	23	r.v	r.v	PROPN
ejpam-5796	54	24	has	have	AUX
ejpam-5796	54	25	eed	ee	VERB
ejpam-5796	54	26	with	with	ADP
ejpam-5796	54	27	β	β	NOUN
ejpam-5796	54	28	and	and	CCONJ
ejpam-5796	54	29	γ	γ	PROPN
ejpam-5796	54	30	are	be	AUX
ejpam-5796	54	31	parameters	parameter	NOUN
ejpam-5796	54	32	having	have	VERB
ejpam-5796	54	33	pdf	pdf	NOUN
ejpam-5796	54	34	and	and	CCONJ
ejpam-5796	54	35	cdf	cdf	PROPN
ejpam-5796	54	36	as	as	ADP
ejpam-5796	54	37	g(y;β	g(y;β	PROPN
ejpam-5796	54	38	,	,	PUNCT
ejpam-5796	54	39	γ	γ	NOUN
ejpam-5796	54	40	)	)	PUNCT
ejpam-5796	54	41	=	=	SYM
ejpam-5796	55	1	βγ	βγ	PROPN
ejpam-5796	55	2	(	(	PUNCT
ejpam-5796	55	3	1−	1−	NUM
ejpam-5796	55	4	e−γy	e−γy	NOUN
ejpam-5796	55	5	)	)	PUNCT
ejpam-5796	55	6	β−1	β−1	PUNCT
ejpam-5796	55	7	e−γy	e−γy	NOUN
ejpam-5796	55	8	(	(	PUNCT
ejpam-5796	55	9	10	10	NUM
ejpam-5796	55	10	)	)	PUNCT
ejpam-5796	55	11	g(y;β	g(y;β	PROPN
ejpam-5796	55	12	,	,	PUNCT
ejpam-5796	55	13	γ	γ	NOUN
ejpam-5796	55	14	)	)	PUNCT
ejpam-5796	55	15	=	=	PUNCT
ejpam-5796	55	16	(	(	PUNCT
ejpam-5796	55	17	1−	1−	NUM
ejpam-5796	55	18	e−γy	e−γy	NOUN
ejpam-5796	55	19	)	)	PUNCT
ejpam-5796	55	20	β	β	X
ejpam-5796	55	21	(	(	PUNCT
ejpam-5796	55	22	11	11	NUM
ejpam-5796	55	23	)	)	PUNCT
ejpam-5796	55	24	let	let	VERB
ejpam-5796	55	25	’	'	PUNCT
ejpam-5796	55	26	z	z	X
ejpam-5796	55	27	’	'	PUNCT
ejpam-5796	55	28	be	be	AUX
ejpam-5796	55	29	a	a	DET
ejpam-5796	55	30	r.v	r.v	NOUN
ejpam-5796	55	31	of	of	ADP
ejpam-5796	55	32	teed	teed	NOUN
ejpam-5796	55	33	having	have	VERB
ejpam-5796	55	34	cdf	cdf	PROPN
ejpam-5796	55	35	and	and	CCONJ
ejpam-5796	55	36	pdf	pdf	NOUN
ejpam-5796	55	37	can	can	AUX
ejpam-5796	55	38	be	be	AUX
ejpam-5796	55	39	defined	define	VERB
ejpam-5796	55	40	as	as	ADP
ejpam-5796	55	41	:	:	PUNCT
ejpam-5796	55	42	g(z	g(z	PROPN
ejpam-5796	55	43	;	;	PUNCT
ejpam-5796	55	44	t	t	PROPN
ejpam-5796	55	45	,	,	PUNCT
ejpam-5796	55	46	β	β	X
ejpam-5796	55	47	,	,	PUNCT
ejpam-5796	55	48	γ	γ	NOUN
ejpam-5796	55	49	)	)	PUNCT
ejpam-5796	55	50	=	=	PUNCT
ejpam-5796	55	51	(	(	PUNCT
ejpam-5796	55	52	1−	1−	NUM
ejpam-5796	55	53	e−γz	e−γz	NOUN
ejpam-5796	55	54	)	)	PUNCT
ejpam-5796	56	1	β	β	X
ejpam-5796	56	2	(	(	PUNCT
ejpam-5796	56	3	1−	1−	NUM
ejpam-5796	56	4	e−γt)β	e−γt)β	PROPN
ejpam-5796	56	5	(	(	PUNCT
ejpam-5796	56	6	12	12	NUM
ejpam-5796	56	7	)	)	PUNCT
ejpam-5796	56	8	and	and	CCONJ
ejpam-5796	56	9	g(z	g(z	PROPN
ejpam-5796	56	10	;	;	PUNCT
ejpam-5796	56	11	t	t	PROPN
ejpam-5796	56	12	,	,	PUNCT
ejpam-5796	56	13	β	β	X
ejpam-5796	56	14	,	,	PUNCT
ejpam-5796	56	15	γ	γ	NOUN
ejpam-5796	56	16	)	)	PUNCT
ejpam-5796	56	17	=	=	NOUN
ejpam-5796	57	1	βγ	βγ	PROPN
ejpam-5796	57	2	(	(	PUNCT
ejpam-5796	57	3	1−	1−	NUM
ejpam-5796	57	4	e−γz	e−γz	NOUN
ejpam-5796	57	5	)	)	PUNCT
ejpam-5796	57	6	β−1	β−1	SYM
ejpam-5796	57	7	e−γz	e−γz	PROPN
ejpam-5796	57	8	(	(	PUNCT
ejpam-5796	57	9	1−	1−	NUM
ejpam-5796	57	10	e−γt)β	e−γt)β	PROPN
ejpam-5796	57	11	(	(	PUNCT
ejpam-5796	57	12	13	13	NUM
ejpam-5796	57	13	)	)	PUNCT
ejpam-5796	57	14	j.	j.	PROPN
ejpam-5796	57	15	g.	g.	PROPN
ejpam-5796	57	16	dar	dar	PROPN
ejpam-5796	57	17	,	,	PUNCT
ejpam-5796	57	18	i.	i.	PROPN
ejpam-5796	57	19	sajjad	sajjad	PROPN
ejpam-5796	57	20	,	,	PUNCT
ejpam-5796	57	21	s.	s.	PROPN
ejpam-5796	57	22	tamboli	tamboli	PROPN
ejpam-5796	57	23	/	/	SYM
ejpam-5796	57	24	eur	eur	PROPN
ejpam-5796	57	25	.	.	PUNCT
ejpam-5796	58	1	j.	j.	PROPN
ejpam-5796	58	2	pure	pure	PROPN
ejpam-5796	58	3	appl	appl	PROPN
ejpam-5796	58	4	.	.	PROPN
ejpam-5796	58	5	math	math	PROPN
ejpam-5796	58	6	,	,	PUNCT
ejpam-5796	58	7	18	18	NUM
ejpam-5796	58	8	(	(	PUNCT
ejpam-5796	58	9	2	2	NUM
ejpam-5796	58	10	)	)	PUNCT
ejpam-5796	58	11	(	(	PUNCT
ejpam-5796	58	12	2025	2025	NUM
ejpam-5796	58	13	)	)	PUNCT
ejpam-5796	58	14	,	,	PUNCT
ejpam-5796	58	15	5796	5796	NUM
ejpam-5796	58	16	4	4	NUM
ejpam-5796	58	17	of	of	ADP
ejpam-5796	58	18	17	17	NUM
ejpam-5796	58	19	suppose	suppose	VERB
ejpam-5796	58	20	ξn(y	ξn(y	NUM
ejpam-5796	58	21	)	)	PUNCT
ejpam-5796	58	22	and	and	CCONJ
ejpam-5796	58	23	ξn(z	ξn(z	NUM
ejpam-5796	58	24	)	)	PUNCT
ejpam-5796	58	25	are	be	AUX
ejpam-5796	58	26	two	two	NUM
ejpam-5796	58	27	corresponding	corresponding	ADJ
ejpam-5796	58	28	entropies	entropy	NOUN
ejpam-5796	58	29	,	,	PUNCT
ejpam-5796	58	30	the	the	DET
ejpam-5796	58	31	relative	relative	ADJ
ejpam-5796	58	32	loss	loss	NOUN
ejpam-5796	58	33	of	of	ADP
ejpam-5796	58	34	entropy	entropy	NOUN
ejpam-5796	58	35	by	by	ADP
ejpam-5796	58	36	using	use	VERB
ejpam-5796	58	37	’	'	PUNCT
ejpam-5796	58	38	y	y	PROPN
ejpam-5796	58	39	’	'	PUNCT
ejpam-5796	58	40	otherthan	otherthan	PROPN
ejpam-5796	58	41	’	'	PUNCT
ejpam-5796	58	42	z	z	NOUN
ejpam-5796	58	43	’	'	PUNCT
ejpam-5796	58	44	can	can	AUX
ejpam-5796	58	45	be	be	AUX
ejpam-5796	58	46	defined	define	VERB
ejpam-5796	58	47	as	as	ADP
ejpam-5796	58	48	:	:	PUNCT
ejpam-5796	58	49	lξn(y	lξn(y	PROPN
ejpam-5796	58	50	)	)	PUNCT
ejpam-5796	58	51	=	=	SYM
ejpam-5796	58	52	ξn(y)−	ξn(y)−	VERB
ejpam-5796	58	53	ξn(z	ξn(z	NUM
ejpam-5796	58	54	)	)	PUNCT
ejpam-5796	58	55	ξn(y	ξn(y	NUM
ejpam-5796	58	56	)	)	PUNCT
ejpam-5796	58	57	(	(	PUNCT
ejpam-5796	58	58	14	14	NUM
ejpam-5796	58	59	)	)	PUNCT
ejpam-5796	58	60	3.1	3.1	NUM
ejpam-5796	58	61	entropies	entropy	NOUN
ejpam-5796	58	62	of	of	ADP
ejpam-5796	58	63	eed	eed	PROPN
ejpam-5796	58	64	and	and	CCONJ
ejpam-5796	58	65	teed	tee	VERB
ejpam-5796	58	66	:	:	PUNCT
ejpam-5796	58	67	in	in	ADP
ejpam-5796	58	68	this	this	DET
ejpam-5796	58	69	section	section	NOUN
ejpam-5796	58	70	,	,	PUNCT
ejpam-5796	58	71	by	by	ADP
ejpam-5796	58	72	following	follow	VERB
ejpam-5796	58	73	section	section	NOUN
ejpam-5796	58	74	2.1	2.1	NUM
ejpam-5796	58	75	,	,	PUNCT
ejpam-5796	58	76	different	different	ADJ
ejpam-5796	58	77	entropies	entropy	NOUN
ejpam-5796	58	78	measures	measure	NOUN
ejpam-5796	58	79	of	of	ADP
ejpam-5796	58	80	eed	eed	NOUN
ejpam-5796	58	81	and	and	CCONJ
ejpam-5796	58	82	teed	teed	NOUN
ejpam-5796	58	83	are	be	AUX
ejpam-5796	58	84	derived	derive	VERB
ejpam-5796	58	85	.	.	PUNCT
ejpam-5796	59	1	then	then	ADV
ejpam-5796	59	2	,	,	PUNCT
ejpam-5796	59	3	using	use	VERB
ejpam-5796	59	4	these	these	DET
ejpam-5796	59	5	two	two	NUM
ejpam-5796	59	6	distributions	distribution	NOUN
ejpam-5796	59	7	,	,	PUNCT
ejpam-5796	59	8	the	the	DET
ejpam-5796	59	9	relative	relative	ADJ
ejpam-5796	59	10	loss	loss	NOUN
ejpam-5796	59	11	of	of	ADP
ejpam-5796	59	12	entropy	entropy	NOUN
ejpam-5796	59	13	is	be	AUX
ejpam-5796	59	14	obtained	obtain	VERB
ejpam-5796	59	15	by	by	ADP
ejpam-5796	59	16	using	use	VERB
ejpam-5796	59	17	’	'	PUNCT
ejpam-5796	59	18	y	y	PROPN
ejpam-5796	59	19	’	'	PUNCT
ejpam-5796	59	20	instead	instead	ADV
ejpam-5796	59	21	of	of	ADP
ejpam-5796	59	22	’	'	PUNCT
ejpam-5796	59	23	z	z	NOUN
ejpam-5796	59	24	’	'	PUNCT
ejpam-5796	59	25	.	.	PUNCT
ejpam-5796	60	1	(	(	PUNCT
ejpam-5796	60	2	i	i	NOUN
ejpam-5796	60	3	)	)	PUNCT
ejpam-5796	60	4	shannon	shannon	PROPN
ejpam-5796	60	5	entropy	entropy	PROPN
ejpam-5796	60	6	of	of	ADP
ejpam-5796	60	7	eed	eed	PROPN
ejpam-5796	60	8	and	and	CCONJ
ejpam-5796	60	9	teed	teed	NOUN
ejpam-5796	60	10	is	be	AUX
ejpam-5796	60	11	given	give	VERB
ejpam-5796	60	12	as	as	ADP
ejpam-5796	60	13	:	:	PUNCT
ejpam-5796	60	14	ξs(y	ξs(y	NUM
ejpam-5796	60	15	)	)	PUNCT
ejpam-5796	61	1	=	=	SYM
ejpam-5796	62	1	−	−	PROPN
ejpam-5796	62	2	∫	∫	PROPN
ejpam-5796	62	3	∞	∞	PROPN
ejpam-5796	62	4	0	0	PUNCT
ejpam-5796	63	1	g(y	g(y	NOUN
ejpam-5796	63	2	)	)	PUNCT
ejpam-5796	63	3	ln	ln	NOUN
ejpam-5796	63	4	g(y)dy	g(y)dy	NOUN
ejpam-5796	63	5	ξs(y	ξs(y	NOUN
ejpam-5796	63	6	)	)	PUNCT
ejpam-5796	64	1	=	=	SYM
ejpam-5796	65	1	−	−	PROPN
ejpam-5796	65	2	∫	∫	PROPN
ejpam-5796	65	3	∞	∞	NUM
ejpam-5796	65	4	0	0	NUM
ejpam-5796	66	1	βγ	βγ	PRON
ejpam-5796	66	2	(	(	PUNCT
ejpam-5796	66	3	1−	1−	NUM
ejpam-5796	66	4	e−γz	e−γz	NOUN
ejpam-5796	66	5	)	)	PUNCT
ejpam-5796	66	6	β−1	β−1	PUNCT
ejpam-5796	66	7	e−γz	e−γz	PROPN
ejpam-5796	66	8	ln	ln	NOUN
ejpam-5796	66	9	[	[	PUNCT
ejpam-5796	66	10	βγ	βγ	INTJ
ejpam-5796	66	11	(	(	PUNCT
ejpam-5796	66	12	1−	1−	NUM
ejpam-5796	66	13	e−γz	e−γz	NOUN
ejpam-5796	66	14	)	)	PUNCT
ejpam-5796	66	15	β−1	β−1	SYM
ejpam-5796	66	16	e−γz	e−γz	PROPN
ejpam-5796	66	17	]	]	PUNCT
ejpam-5796	66	18	dy	dy	NOUN
ejpam-5796	66	19	making	make	VERB
ejpam-5796	66	20	transformation	transformation	NOUN
ejpam-5796	66	21	e−γz	e−γz	PROPN
ejpam-5796	66	22	=	=	SYM
ejpam-5796	66	23	w	w	PROPN
ejpam-5796	66	24	,	,	PUNCT
ejpam-5796	66	25	finally	finally	ADV
ejpam-5796	66	26	shannon	shannon	PROPN
ejpam-5796	66	27	entropy	entropy	PROPN
ejpam-5796	66	28	becomes	become	VERB
ejpam-5796	66	29	,	,	PUNCT
ejpam-5796	66	30	ξs(y	ξs(y	NUM
ejpam-5796	66	31	)	)	PUNCT
ejpam-5796	67	1	=	=	SYM
ejpam-5796	67	2	−	−	PROPN
ejpam-5796	68	1	log(βγ)−	log(βγ)−	PROPN
ejpam-5796	68	2	φ(1	φ(1	PROPN
ejpam-5796	68	3	)	)	PUNCT
ejpam-5796	69	1	+	+	CCONJ
ejpam-5796	69	2	(	(	PUNCT
ejpam-5796	69	3	1−	1−	NUM
ejpam-5796	69	4	β)φ(β	β)φ(β	PUNCT
ejpam-5796	69	5	)	)	PUNCT
ejpam-5796	70	1	+	+	CCONJ
ejpam-5796	70	2	βφ(β	βφ(β	NUM
ejpam-5796	71	1	+	+	CCONJ
ejpam-5796	71	2	1	1	X
ejpam-5796	71	3	)	)	PUNCT
ejpam-5796	71	4	(	(	PUNCT
ejpam-5796	71	5	15	15	NUM
ejpam-5796	71	6	)	)	PUNCT
ejpam-5796	71	7	where	where	SCONJ
ejpam-5796	71	8	φ	φ	X
ejpam-5796	71	9	(	(	PUNCT
ejpam-5796	71	10	□	□	PUNCT
ejpam-5796	71	11	)	)	PUNCT
ejpam-5796	71	12	is	be	AUX
ejpam-5796	71	13	a	a	DET
ejpam-5796	71	14	digamma	digamma	PROPN
ejpam-5796	71	15	function	function	NOUN
ejpam-5796	71	16	.	.	PUNCT
ejpam-5796	72	1	the	the	DET
ejpam-5796	72	2	shannon	shannon	PROPN
ejpam-5796	72	3	entropy	entropy	PROPN
ejpam-5796	72	4	of	of	ADP
ejpam-5796	72	5	teed	teed	NOUN
ejpam-5796	72	6	is	be	AUX
ejpam-5796	72	7	as	as	ADP
ejpam-5796	72	8	ξs(z	ξs(z	NUM
ejpam-5796	72	9	)	)	PUNCT
ejpam-5796	72	10	=	=	PUNCT
ejpam-5796	73	1	−	−	PROPN
ejpam-5796	73	2	∫	∫	PROPN
ejpam-5796	73	3	∞	∞	NUM
ejpam-5796	73	4	0	0	NUM
ejpam-5796	74	1	βγ	βγ	PROPN
ejpam-5796	74	2	(	(	PUNCT
ejpam-5796	74	3	1−	1−	NUM
ejpam-5796	74	4	e−γz	e−γz	NOUN
ejpam-5796	74	5	)	)	PUNCT
ejpam-5796	74	6	β−1	β−1	SYM
ejpam-5796	74	7	e−γz	e−γz	PROPN
ejpam-5796	74	8	(	(	PUNCT
ejpam-5796	74	9	1−	1−	NUM
ejpam-5796	74	10	e−γt)β	e−γt)β	PROPN
ejpam-5796	74	11	ln	ln	NOUN
ejpam-5796	74	12	{	{	PUNCT
ejpam-5796	74	13	βγ	βγ	PROPN
ejpam-5796	74	14	(	(	PUNCT
ejpam-5796	74	15	1−	1−	NUM
ejpam-5796	74	16	e−γz	e−γz	NOUN
ejpam-5796	74	17	)	)	PUNCT
ejpam-5796	74	18	β−1	β−1	SYM
ejpam-5796	74	19	e−γz	e−γz	PROPN
ejpam-5796	74	20	(	(	PUNCT
ejpam-5796	74	21	1−	1−	NUM
ejpam-5796	74	22	e−γt)β	e−γt)β	PROPN
ejpam-5796	74	23	}	}	PUNCT
ejpam-5796	74	24	dy	dy	X
ejpam-5796	74	25	(	(	PUNCT
ejpam-5796	74	26	16	16	NUM
ejpam-5796	74	27	)	)	PUNCT
ejpam-5796	74	28	after	after	ADP
ejpam-5796	74	29	making	make	VERB
ejpam-5796	74	30	transformation	transformation	NOUN
ejpam-5796	74	31	and	and	CCONJ
ejpam-5796	74	32	a	a	DET
ejpam-5796	74	33	little	little	ADJ
ejpam-5796	74	34	simplification	simplification	NOUN
ejpam-5796	74	35	,	,	PUNCT
ejpam-5796	74	36	one	one	PRON
ejpam-5796	74	37	can	can	AUX
ejpam-5796	74	38	get	get	VERB
ejpam-5796	74	39	ξs(z	ξs(z	ADP
ejpam-5796	74	40	)	)	PUNCT
ejpam-5796	75	1	=	=	SYM
ejpam-5796	75	2	−	−	PROPN
ejpam-5796	75	3	lnβγ	lnβγ	NOUN
ejpam-5796	75	4	(	(	PUNCT
ejpam-5796	75	5	1−	1−	NUM
ejpam-5796	75	6	e−γt)β	e−γt)β	PROPN
ejpam-5796	75	7	−	−	PROPN
ejpam-5796	75	8	β	β	X
ejpam-5796	75	9	(	(	PUNCT
ejpam-5796	75	10	1−	1−	NUM
ejpam-5796	75	11	e−γt)β	e−γt)β	PROPN
ejpam-5796	75	12	φ(β)−	φ(β)−	PROPN
ejpam-5796	75	13	β	β	X
ejpam-5796	75	14	(	(	PUNCT
ejpam-5796	75	15	1−	1−	NUM
ejpam-5796	75	16	e−γt)β	e−γt)β	PROPN
ejpam-5796	75	17	φ(β	φ(β	PROPN
ejpam-5796	75	18	+	+	CCONJ
ejpam-5796	75	19	1	1	X
ejpam-5796	75	20	)	)	PUNCT
ejpam-5796	75	21	(	(	PUNCT
ejpam-5796	75	22	17	17	NUM
ejpam-5796	75	23	)	)	PUNCT
ejpam-5796	75	24	therefore	therefore	ADV
ejpam-5796	75	25	,	,	PUNCT
ejpam-5796	75	26	the	the	DET
ejpam-5796	75	27	final	final	ADJ
ejpam-5796	75	28	expression	expression	NOUN
ejpam-5796	75	29	of	of	ADP
ejpam-5796	75	30	shannon	shannon	PROPN
ejpam-5796	75	31	entropy	entropy	PROPN
ejpam-5796	75	32	of	of	ADP
ejpam-5796	75	33	teed	teed	NOUN
ejpam-5796	75	34	is	be	AUX
ejpam-5796	75	35	ξs(z	ξs(z	ADV
ejpam-5796	75	36	)	)	PUNCT
ejpam-5796	76	1	=	=	SYM
ejpam-5796	77	1	−	−	PROPN
ejpam-5796	77	2	1	1	NUM
ejpam-5796	77	3	(	(	PUNCT
ejpam-5796	77	4	1−	1−	NUM
ejpam-5796	77	5	e−γt)β	e−γt)β	PROPN
ejpam-5796	78	1	[	[	X
ejpam-5796	78	2	−	−	X
ejpam-5796	78	3	lnβ	lnβ	NOUN
ejpam-5796	78	4	−	−	PROPN
ejpam-5796	78	5	βφ(β)−	βφ(β)−	X
ejpam-5796	78	6	βφ(β	βφ(β	PUNCT
ejpam-5796	79	1	+	+	CCONJ
ejpam-5796	79	2	1)−	1)−	NUM
ejpam-5796	79	3	lng(z	lng(z	NOUN
ejpam-5796	79	4	;	;	PUNCT
ejpam-5796	79	5	t	t	PROPN
ejpam-5796	79	6	,	,	PUNCT
ejpam-5796	79	7	β	β	X
ejpam-5796	79	8	,	,	PUNCT
ejpam-5796	79	9	γ	γ	NOUN
ejpam-5796	79	10	)	)	PUNCT
ejpam-5796	79	11	]	]	PUNCT
ejpam-5796	79	12	(	(	PUNCT
ejpam-5796	79	13	18	18	NUM
ejpam-5796	79	14	)	)	PUNCT
ejpam-5796	79	15	(	(	PUNCT
ejpam-5796	79	16	ii	ii	NOUN
ejpam-5796	79	17	)	)	PUNCT
ejpam-5796	79	18	the	the	DET
ejpam-5796	79	19	renyi	renyi	PROPN
ejpam-5796	79	20	entropy	entropy	PROPN
ejpam-5796	79	21	of	of	ADP
ejpam-5796	79	22	’	'	PUNCT
ejpam-5796	79	23	y	y	NOUN
ejpam-5796	79	24	’	'	PUNCT
ejpam-5796	79	25	and	and	CCONJ
ejpam-5796	79	26	’	'	PUNCT
ejpam-5796	79	27	z	z	NOUN
ejpam-5796	79	28	’	'	PUNCT
ejpam-5796	79	29	is	be	AUX
ejpam-5796	79	30	as	as	ADP
ejpam-5796	79	31	follow	follow	VERB
ejpam-5796	79	32	ξr(y	ξr(y	VERB
ejpam-5796	79	33	)	)	PUNCT
ejpam-5796	79	34	=	=	SYM
ejpam-5796	80	1	1	1	NUM
ejpam-5796	80	2	1−	1−	NUM
ejpam-5796	80	3	ς	ς	PROPN
ejpam-5796	80	4	log	log	NOUN
ejpam-5796	80	5	∫	∫	PROPN
ejpam-5796	80	6	∞	∞	PROPN
ejpam-5796	80	7	0	0	PUNCT
ejpam-5796	81	1	[	[	X
ejpam-5796	81	2	g(y)]ςdy	g(y)]ςdy	NOUN
ejpam-5796	81	3	after	after	ADP
ejpam-5796	81	4	simplification	simplification	NOUN
ejpam-5796	81	5	,	,	PUNCT
ejpam-5796	81	6	we	we	PRON
ejpam-5796	81	7	get	get	VERB
ejpam-5796	81	8	the	the	DET
ejpam-5796	81	9	renyi	renyi	PROPN
ejpam-5796	81	10	entropy	entropy	NOUN
ejpam-5796	81	11	for	for	ADP
ejpam-5796	81	12	eed	eed	PROPN
ejpam-5796	81	13	as	as	ADP
ejpam-5796	81	14	j.	j.	PROPN
ejpam-5796	81	15	g.	g.	PROPN
ejpam-5796	81	16	dar	dar	PROPN
ejpam-5796	81	17	,	,	PUNCT
ejpam-5796	81	18	i.	i.	PROPN
ejpam-5796	81	19	sajjad	sajjad	PROPN
ejpam-5796	81	20	,	,	PUNCT
ejpam-5796	81	21	s.	s.	PROPN
ejpam-5796	81	22	tamboli	tamboli	PROPN
ejpam-5796	81	23	/	/	SYM
ejpam-5796	81	24	eur	eur	PROPN
ejpam-5796	81	25	.	.	PUNCT
ejpam-5796	82	1	j.	j.	PROPN
ejpam-5796	82	2	pure	pure	PROPN
ejpam-5796	82	3	appl	appl	PROPN
ejpam-5796	82	4	.	.	PROPN
ejpam-5796	82	5	math	math	PROPN
ejpam-5796	82	6	,	,	PUNCT
ejpam-5796	82	7	18	18	NUM
ejpam-5796	82	8	(	(	PUNCT
ejpam-5796	82	9	2	2	NUM
ejpam-5796	82	10	)	)	PUNCT
ejpam-5796	82	11	(	(	PUNCT
ejpam-5796	82	12	2025	2025	NUM
ejpam-5796	82	13	)	)	PUNCT
ejpam-5796	82	14	,	,	PUNCT
ejpam-5796	82	15	5796	5796	NUM
ejpam-5796	82	16	5	5	NUM
ejpam-5796	82	17	of	of	ADP
ejpam-5796	82	18	17	17	NUM
ejpam-5796	82	19	ξr(y	ξr(y	VERB
ejpam-5796	82	20	)	)	PUNCT
ejpam-5796	82	21	=	=	SYM
ejpam-5796	83	1	−	−	NOUN
ejpam-5796	83	2	log	log	NOUN
ejpam-5796	83	3	βγ	βγ	NOUN
ejpam-5796	84	1	+	+	CCONJ
ejpam-5796	84	2	log	log	VERB
ejpam-5796	84	3	β	β	NOUN
ejpam-5796	85	1	+	+	CCONJ
ejpam-5796	85	2	logb(ς	logb(ς	PROPN
ejpam-5796	85	3	,	,	PUNCT
ejpam-5796	85	4	ς(β	ς(β	PROPN
ejpam-5796	85	5	−	−	NOUN
ejpam-5796	85	6	1	1	NUM
ejpam-5796	85	7	)	)	PUNCT
ejpam-5796	85	8	+	+	CCONJ
ejpam-5796	85	9	1	1	X
ejpam-5796	85	10	)	)	PUNCT
ejpam-5796	85	11	1−	1−	NUM
ejpam-5796	85	12	ς	ς	PROPN
ejpam-5796	85	13	(	(	PUNCT
ejpam-5796	85	14	19	19	NUM
ejpam-5796	85	15	)	)	PUNCT
ejpam-5796	85	16	the	the	DET
ejpam-5796	85	17	renyi	renyi	PROPN
ejpam-5796	85	18	entropy	entropy	PROPN
ejpam-5796	85	19	for	for	ADP
ejpam-5796	85	20	teed	teed	NOUN
ejpam-5796	85	21	as	as	ADP
ejpam-5796	85	22	ξr(z	ξr(z	NUM
ejpam-5796	85	23	)	)	PUNCT
ejpam-5796	85	24	=	=	PRON
ejpam-5796	86	1	log	log	NOUN
ejpam-5796	86	2	(	(	PUNCT
ejpam-5796	86	3	βγ	βγ	X
ejpam-5796	86	4	(	(	PUNCT
ejpam-5796	86	5	1−	1−	NUM
ejpam-5796	86	6	e−γt)β	e−γt)β	PROPN
ejpam-5796	86	7	)	)	PUNCT
ejpam-5796	87	1	+	+	CCONJ
ejpam-5796	87	2	log	log	VERB
ejpam-5796	87	3	β	β	NOUN
ejpam-5796	87	4	+	+	CCONJ
ejpam-5796	87	5	logb(ς	logb(ς	PROPN
ejpam-5796	87	6	,	,	PUNCT
ejpam-5796	87	7	ς(β	ς(β	PROPN
ejpam-5796	87	8	−	−	NOUN
ejpam-5796	87	9	1	1	NUM
ejpam-5796	87	10	)	)	PUNCT
ejpam-5796	87	11	+	+	CCONJ
ejpam-5796	87	12	1	1	X
ejpam-5796	87	13	)	)	PUNCT
ejpam-5796	87	14	1−	1−	NUM
ejpam-5796	87	15	ς	ς	PROPN
ejpam-5796	87	16	(	(	PUNCT
ejpam-5796	87	17	20	20	NUM
ejpam-5796	87	18	)	)	PUNCT
ejpam-5796	87	19	(	(	PUNCT
ejpam-5796	87	20	iv	iv	X
ejpam-5796	87	21	)	)	PUNCT
ejpam-5796	87	22	tsallis	tsalli	NOUN
ejpam-5796	87	23	entropy	entropy	PROPN
ejpam-5796	87	24	of	of	ADP
ejpam-5796	87	25	eed	eed	PROPN
ejpam-5796	87	26	and	and	CCONJ
ejpam-5796	87	27	teed	teed	NOUN
ejpam-5796	87	28	is	be	AUX
ejpam-5796	87	29	given	give	VERB
ejpam-5796	87	30	as	as	ADP
ejpam-5796	87	31	:	:	PUNCT
ejpam-5796	87	32	ξt	ξt	X
ejpam-5796	87	33	(	(	PUNCT
ejpam-5796	87	34	y	y	NOUN
ejpam-5796	87	35	)	)	PUNCT
ejpam-5796	87	36	=	=	SYM
ejpam-5796	87	37	1	1	NUM
ejpam-5796	87	38	1−	1−	NUM
ejpam-5796	87	39	ς	ς	PROPN
ejpam-5796	87	40	[	[	PUNCT
ejpam-5796	87	41	1−	1−	NUM
ejpam-5796	87	42	βγς−1b(ς	βγς−1b(ς	NOUN
ejpam-5796	87	43	,	,	PUNCT
ejpam-5796	87	44	ς(β	ς(β	PROPN
ejpam-5796	87	45	−	−	NOUN
ejpam-5796	87	46	1	1	NUM
ejpam-5796	87	47	)	)	PUNCT
ejpam-5796	87	48	+	+	CCONJ
ejpam-5796	87	49	1	1	NUM
ejpam-5796	87	50	)	)	PUNCT
ejpam-5796	87	51	]	]	PUNCT
ejpam-5796	87	52	(	(	PUNCT
ejpam-5796	87	53	21	21	NUM
ejpam-5796	87	54	)	)	PUNCT
ejpam-5796	87	55	ξt	ξt	NOUN
ejpam-5796	87	56	(	(	PUNCT
ejpam-5796	87	57	z	z	NOUN
ejpam-5796	87	58	)	)	PUNCT
ejpam-5796	87	59	=	=	SYM
ejpam-5796	87	60	1	1	NUM
ejpam-5796	87	61	1−	1−	NUM
ejpam-5796	87	62	ς	ς	PROPN
ejpam-5796	87	63	[	[	PUNCT
ejpam-5796	87	64	1−	1−	NUM
ejpam-5796	87	65	βγς−1	βγς−1	PROPN
ejpam-5796	87	66	(	(	PUNCT
ejpam-5796	87	67	1−	1−	NUM
ejpam-5796	87	68	e−γt)β	e−γt)β	PROPN
ejpam-5796	87	69	b(ς	b(ς	PROPN
ejpam-5796	87	70	,	,	PUNCT
ejpam-5796	87	71	ς(β	ς(β	PROPN
ejpam-5796	87	72	−	−	NOUN
ejpam-5796	87	73	1	1	NUM
ejpam-5796	87	74	)	)	PUNCT
ejpam-5796	87	75	+	+	CCONJ
ejpam-5796	87	76	1	1	NUM
ejpam-5796	87	77	)	)	PUNCT
ejpam-5796	87	78	]	]	PUNCT
ejpam-5796	88	1	(	(	PUNCT
ejpam-5796	88	2	22	22	NUM
ejpam-5796	88	3	)	)	PUNCT
ejpam-5796	88	4	(	(	PUNCT
ejpam-5796	88	5	v	v	NOUN
ejpam-5796	88	6	)	)	PUNCT
ejpam-5796	88	7	the	the	DET
ejpam-5796	88	8	havrda	havrda	PROPN
ejpam-5796	88	9	and	and	CCONJ
ejpam-5796	88	10	charvat	charvat	ADJ
ejpam-5796	88	11	entropy	entropy	NOUN
ejpam-5796	88	12	of	of	ADP
ejpam-5796	88	13	eed	eed	PROPN
ejpam-5796	88	14	and	and	CCONJ
ejpam-5796	88	15	teed	teed	NOUN
ejpam-5796	88	16	is	be	AUX
ejpam-5796	88	17	given	give	VERB
ejpam-5796	88	18	as	as	ADP
ejpam-5796	88	19	:	:	PUNCT
ejpam-5796	88	20	ξhc(y	ξhc(y	X
ejpam-5796	88	21	)	)	PUNCT
ejpam-5796	88	22	=	=	SYM
ejpam-5796	88	23	1	1	NUM
ejpam-5796	88	24	21−ς	21−ς	NUM
ejpam-5796	88	25	−	−	NUM
ejpam-5796	88	26	1	1	NUM
ejpam-5796	88	27	[	[	PUNCT
ejpam-5796	88	28	βςγς−1b(ς	βςγς−1b(ς	PROPN
ejpam-5796	88	29	,	,	PUNCT
ejpam-5796	88	30	ς(β	ς(β	PROPN
ejpam-5796	88	31	−	−	NOUN
ejpam-5796	88	32	1	1	NUM
ejpam-5796	88	33	)	)	PUNCT
ejpam-5796	88	34	+	+	PUNCT
ejpam-5796	89	1	1)−	1)−	NUM
ejpam-5796	89	2	1	1	NUM
ejpam-5796	89	3	]	]	PUNCT
ejpam-5796	89	4	(	(	PUNCT
ejpam-5796	89	5	23	23	X
ejpam-5796	89	6	)	)	PUNCT
ejpam-5796	89	7	ξhc(z	ξhc(z	PROPN
ejpam-5796	89	8	)	)	PUNCT
ejpam-5796	89	9	=	=	SYM
ejpam-5796	90	1	1	1	NUM
ejpam-5796	90	2	21−ς	21−ς	NUM
ejpam-5796	90	3	−	−	NUM
ejpam-5796	90	4	1	1	NUM
ejpam-5796	90	5	[	[	PUNCT
ejpam-5796	90	6	βςγς−1	βςγς−1	X
ejpam-5796	90	7	(	(	PUNCT
ejpam-5796	90	8	1−	1−	NUM
ejpam-5796	90	9	e−γt)βς	e−γt)βς	PROPN
ejpam-5796	90	10	b(ς	b(ς	PROPN
ejpam-5796	90	11	,	,	PUNCT
ejpam-5796	90	12	ς(β	ς(β	PROPN
ejpam-5796	90	13	−	−	NOUN
ejpam-5796	90	14	1	1	NUM
ejpam-5796	90	15	)	)	PUNCT
ejpam-5796	90	16	+	+	PUNCT
ejpam-5796	91	1	1)−	1)−	NUM
ejpam-5796	91	2	1	1	NUM
ejpam-5796	91	3	]	]	PUNCT
ejpam-5796	91	4	(	(	PUNCT
ejpam-5796	91	5	24	24	NUM
ejpam-5796	91	6	)	)	PUNCT
ejpam-5796	91	7	(	(	PUNCT
ejpam-5796	91	8	vi	vi	NOUN
ejpam-5796	91	9	)	)	PUNCT
ejpam-5796	91	10	arimoto	arimoto	NOUN
ejpam-5796	91	11	’s	’s	PART
ejpam-5796	91	12	entropy	entropy	NOUN
ejpam-5796	91	13	of	of	ADP
ejpam-5796	91	14	eed	eed	PROPN
ejpam-5796	91	15	and	and	CCONJ
ejpam-5796	91	16	teed	teed	NOUN
ejpam-5796	91	17	is	be	AUX
ejpam-5796	91	18	given	give	VERB
ejpam-5796	91	19	as	as	ADP
ejpam-5796	91	20	:	:	PUNCT
ejpam-5796	91	21	ξar(y	ξar(y	VERB
ejpam-5796	91	22	)	)	PUNCT
ejpam-5796	91	23	=	=	SYM
ejpam-5796	91	24	1	1	NUM
ejpam-5796	91	25	(	(	PUNCT
ejpam-5796	91	26	21−ς	21−ς	NUM
ejpam-5796	91	27	−	−	NOUN
ejpam-5796	91	28	1	1	NUM
ejpam-5796	91	29	)	)	PUNCT
ejpam-5796	91	30	[	[	X
ejpam-5796	91	31	{	{	PUNCT
ejpam-5796	91	32	(	(	PUNCT
ejpam-5796	91	33	βςγ	βςγ	NOUN
ejpam-5796	91	34	)	)	PUNCT
ejpam-5796	91	35	1	1	NUM
ejpam-5796	91	36	ς	ς	PROPN
ejpam-5796	91	37	ς	ς	PROPN
ejpam-5796	91	38	b	b	PROPN
ejpam-5796	91	39	(	(	PUNCT
ejpam-5796	91	40	1	1	NUM
ejpam-5796	91	41	ς	ς	PROPN
ejpam-5796	91	42	,	,	PUNCT
ejpam-5796	91	43	(	(	PUNCT
ejpam-5796	91	44	β	β	NOUN
ejpam-5796	91	45	−	−	NOUN
ejpam-5796	91	46	1	1	NUM
ejpam-5796	91	47	)	)	PUNCT
ejpam-5796	91	48	ς	ς	PROPN
ejpam-5796	92	1	+	+	ADJ
ejpam-5796	92	2	1	1	NUM
ejpam-5796	92	3	)	)	PUNCT
ejpam-5796	92	4	}	}	PUNCT
ejpam-5796	92	5	−	−	PROPN
ejpam-5796	92	6	1	1	NUM
ejpam-5796	92	7	]	]	PUNCT
ejpam-5796	92	8	(	(	PUNCT
ejpam-5796	92	9	25	25	NUM
ejpam-5796	92	10	)	)	PUNCT
ejpam-5796	92	11	ξar(z	ξar(z	PROPN
ejpam-5796	92	12	)	)	PUNCT
ejpam-5796	92	13	=	=	SYM
ejpam-5796	92	14	1	1	NUM
ejpam-5796	92	15	(	(	PUNCT
ejpam-5796	92	16	21−ς	21−ς	NUM
ejpam-5796	92	17	−	−	NOUN
ejpam-5796	92	18	1	1	NUM
ejpam-5796	92	19	)	)	PUNCT
ejpam-5796	93	1	[	[	X
ejpam-5796	93	2	{	{	PUNCT
ejpam-5796	93	3	(	(	PUNCT
ejpam-5796	93	4	βγ	βγ	NOUN
ejpam-5796	93	5	)	)	PUNCT
ejpam-5796	93	6	1	1	NUM
ejpam-5796	93	7	ς	ς	PROPN
ejpam-5796	93	8	γ	γ	X
ejpam-5796	93	9	(	(	PUNCT
ejpam-5796	93	10	1−	1−	NUM
ejpam-5796	93	11	e−γt	e−γt	NOUN
ejpam-5796	93	12	)	)	PUNCT
ejpam-5796	93	13	β	β	PROPN
ejpam-5796	93	14	ς	ς	PROPN
ejpam-5796	93	15	b	b	PROPN
ejpam-5796	93	16	(	(	PUNCT
ejpam-5796	93	17	1	1	NUM
ejpam-5796	93	18	ς	ς	PROPN
ejpam-5796	93	19	,	,	PUNCT
ejpam-5796	93	20	(	(	PUNCT
ejpam-5796	93	21	β	β	NOUN
ejpam-5796	93	22	−	−	NOUN
ejpam-5796	93	23	1	1	NUM
ejpam-5796	93	24	)	)	PUNCT
ejpam-5796	93	25	ς	ς	PROPN
ejpam-5796	94	1	+	+	ADJ
ejpam-5796	94	2	1	1	NUM
ejpam-5796	94	3	)	)	PUNCT
ejpam-5796	94	4	}	}	PUNCT
ejpam-5796	94	5	ς	ς	PROPN
ejpam-5796	94	6	−	−	PROPN
ejpam-5796	94	7	1	1	NUM
ejpam-5796	94	8	]	]	PUNCT
ejpam-5796	94	9	(	(	PUNCT
ejpam-5796	94	10	26	26	NUM
ejpam-5796	94	11	)	)	PUNCT
ejpam-5796	94	12	(	(	PUNCT
ejpam-5796	94	13	vii	vii	PROPN
ejpam-5796	94	14	)	)	PUNCT
ejpam-5796	94	15	sharma	sharma	PROPN
ejpam-5796	94	16	and	and	CCONJ
ejpam-5796	94	17	mittal	mittal	PROPN
ejpam-5796	94	18	’s	’s	PART
ejpam-5796	94	19	entropy	entropy	NOUN
ejpam-5796	94	20	of	of	ADP
ejpam-5796	94	21	eed	eed	PROPN
ejpam-5796	94	22	and	and	CCONJ
ejpam-5796	94	23	teed	teed	NOUN
ejpam-5796	94	24	is	be	AUX
ejpam-5796	94	25	given	give	VERB
ejpam-5796	94	26	as	as	ADP
ejpam-5796	94	27	:	:	PUNCT
ejpam-5796	94	28	ξsm	ξsm	NOUN
ejpam-5796	94	29	(	(	PUNCT
ejpam-5796	94	30	y	y	NOUN
ejpam-5796	94	31	)	)	PUNCT
ejpam-5796	94	32	=	=	SYM
ejpam-5796	94	33	1	1	NUM
ejpam-5796	94	34	(	(	PUNCT
ejpam-5796	94	35	21−ς	21−ς	NUM
ejpam-5796	94	36	−	−	NOUN
ejpam-5796	94	37	1	1	NUM
ejpam-5796	94	38	)	)	PUNCT
ejpam-5796	95	1	[	[	X
ejpam-5796	95	2	exp(ς	exp(ς	X
ejpam-5796	95	3	−	−	X
ejpam-5796	95	4	1){−	1){−	NUM
ejpam-5796	95	5	log(βγ)−	log(βγ)−	PROPN
ejpam-5796	95	6	φ(1	φ(1	PROPN
ejpam-5796	95	7	)	)	PUNCT
ejpam-5796	95	8	+	+	CCONJ
ejpam-5796	95	9	(	(	PUNCT
ejpam-5796	95	10	1−	1−	NUM
ejpam-5796	95	11	β)φ(β	β)φ(β	PUNCT
ejpam-5796	95	12	)	)	PUNCT
ejpam-5796	96	1	+	+	CCONJ
ejpam-5796	96	2	βφ(β	βφ(β	NUM
ejpam-5796	97	1	+	+	CCONJ
ejpam-5796	97	2	1	1	NUM
ejpam-5796	97	3	)	)	PUNCT
ejpam-5796	97	4	}	}	PUNCT
ejpam-5796	97	5	−	−	PROPN
ejpam-5796	98	1	1	1	NUM
ejpam-5796	98	2	]	]	PUNCT
ejpam-5796	98	3	(	(	PUNCT
ejpam-5796	98	4	27	27	NUM
ejpam-5796	98	5	)	)	PUNCT
ejpam-5796	98	6	ξsm	ξsm	NOUN
ejpam-5796	98	7	(	(	PUNCT
ejpam-5796	98	8	z	z	NOUN
ejpam-5796	98	9	)	)	PUNCT
ejpam-5796	98	10	=	=	SYM
ejpam-5796	98	11	1	1	NUM
ejpam-5796	98	12	(	(	PUNCT
ejpam-5796	98	13	21−ς	21−ς	NUM
ejpam-5796	98	14	−	−	NOUN
ejpam-5796	98	15	1	1	NUM
ejpam-5796	98	16	)	)	PUNCT
ejpam-5796	99	1	[	[	X
ejpam-5796	99	2	exp(ς	exp(ς	X
ejpam-5796	99	3	−	−	X
ejpam-5796	99	4	1){−	1){−	NUM
ejpam-5796	99	5	log(βγ)−	log(βγ)−	PROPN
ejpam-5796	99	6	βφ(β	βφ(β	NUM
ejpam-5796	99	7	)	)	PUNCT
ejpam-5796	100	1	+	+	CCONJ
ejpam-5796	100	2	βφ(β	βφ(β	NUM
ejpam-5796	100	3	+	+	CCONJ
ejpam-5796	100	4	1	1	X
ejpam-5796	100	5	)	)	PUNCT
ejpam-5796	100	6	+	+	CCONJ
ejpam-5796	100	7	lng(z	lng(z	NOUN
ejpam-5796	100	8	;	;	PUNCT
ejpam-5796	100	9	t	t	PROPN
ejpam-5796	100	10	,	,	PUNCT
ejpam-5796	100	11	β	β	X
ejpam-5796	100	12	,	,	PUNCT
ejpam-5796	100	13	γ	γ	NOUN
ejpam-5796	100	14	)	)	PUNCT
ejpam-5796	100	15	}	}	PUNCT
ejpam-5796	100	16	−	−	PROPN
ejpam-5796	101	1	1	1	X
ejpam-5796	101	2	]	]	PUNCT
ejpam-5796	101	3	(	(	PUNCT
ejpam-5796	101	4	28	28	NUM
ejpam-5796	101	5	)	)	PUNCT
ejpam-5796	101	6	j.	j.	PROPN
ejpam-5796	101	7	g.	g.	PROPN
ejpam-5796	101	8	dar	dar	PROPN
ejpam-5796	101	9	,	,	PUNCT
ejpam-5796	101	10	i.	i.	PROPN
ejpam-5796	101	11	sajjad	sajjad	PROPN
ejpam-5796	101	12	,	,	PUNCT
ejpam-5796	101	13	s.	s.	PROPN
ejpam-5796	101	14	tamboli	tamboli	PROPN
ejpam-5796	101	15	/	/	SYM
ejpam-5796	101	16	eur	eur	PROPN
ejpam-5796	101	17	.	.	PUNCT
ejpam-5796	102	1	j.	j.	PROPN
ejpam-5796	102	2	pure	pure	PROPN
ejpam-5796	102	3	appl	appl	PROPN
ejpam-5796	102	4	.	.	PROPN
ejpam-5796	102	5	math	math	PROPN
ejpam-5796	102	6	,	,	PUNCT
ejpam-5796	102	7	18	18	NUM
ejpam-5796	102	8	(	(	PUNCT
ejpam-5796	102	9	2	2	NUM
ejpam-5796	102	10	)	)	PUNCT
ejpam-5796	102	11	(	(	PUNCT
ejpam-5796	102	12	2025	2025	NUM
ejpam-5796	102	13	)	)	PUNCT
ejpam-5796	102	14	,	,	PUNCT
ejpam-5796	102	15	5796	5796	NUM
ejpam-5796	102	16	6	6	NUM
ejpam-5796	102	17	of	of	ADP
ejpam-5796	102	18	17	17	NUM
ejpam-5796	102	19	(	(	PUNCT
ejpam-5796	102	20	viii	viii	NOUN
ejpam-5796	102	21	)	)	PUNCT
ejpam-5796	102	22	awad	awad	PROPN
ejpam-5796	102	23	’s	’s	PROPN
ejpam-5796	102	24	et	et	PROPN
ejpam-5796	102	25	al	al	PROPN
ejpam-5796	102	26	.	.	PROPN
ejpam-5796	102	27	entropy	entropy	PROPN
ejpam-5796	102	28	of	of	ADP
ejpam-5796	102	29	eed	eed	PROPN
ejpam-5796	102	30	and	and	CCONJ
ejpam-5796	102	31	teed	teed	NOUN
ejpam-5796	102	32	is	be	AUX
ejpam-5796	102	33	given	give	VERB
ejpam-5796	102	34	as	as	ADP
ejpam-5796	102	35	:	:	PUNCT
ejpam-5796	102	36	ξa1(y	ξa1(y	PROPN
ejpam-5796	102	37	)	)	PUNCT
ejpam-5796	103	1	=	=	SYM
ejpam-5796	103	2	log(δ)−	log(δ)−	PROPN
ejpam-5796	103	3	log(βγ	log(βγ	NOUN
ejpam-5796	103	4	)	)	PUNCT
ejpam-5796	104	1	+	+	CCONJ
ejpam-5796	104	2	φ(1)−	φ(1)−	ADJ
ejpam-5796	104	3	(	(	PUNCT
ejpam-5796	104	4	1−	1−	NUM
ejpam-5796	104	5	β)φ(β	β)φ(β	PUNCT
ejpam-5796	104	6	)	)	PUNCT
ejpam-5796	105	1	+	+	CCONJ
ejpam-5796	105	2	βφ(β	βφ(β	NUM
ejpam-5796	105	3	+	+	CCONJ
ejpam-5796	105	4	1	1	X
ejpam-5796	105	5	)	)	PUNCT
ejpam-5796	105	6	(	(	PUNCT
ejpam-5796	105	7	29	29	NUM
ejpam-5796	105	8	)	)	PUNCT
ejpam-5796	105	9	ξa1(z	ξa1(z	PROPN
ejpam-5796	105	10	)	)	PUNCT
ejpam-5796	105	11	=	=	SYM
ejpam-5796	106	1	log(δ	log(δ	PROPN
ejpam-5796	106	2	)	)	PUNCT
ejpam-5796	106	3	+	+	CCONJ
ejpam-5796	106	4	1	1	NUM
ejpam-5796	106	5	(	(	PUNCT
ejpam-5796	106	6	1−	1−	NUM
ejpam-5796	106	7	e−γt)β	e−γt)β	PROPN
ejpam-5796	106	8	[	[	X
ejpam-5796	106	9	log(βγ	log(βγ	X
ejpam-5796	106	10	)	)	PUNCT
ejpam-5796	106	11	+	+	CCONJ
ejpam-5796	106	12	βφ(β	βφ(β	NUM
ejpam-5796	106	13	)	)	PUNCT
ejpam-5796	107	1	+	+	CCONJ
ejpam-5796	107	2	βφ(β	βφ(β	NUM
ejpam-5796	107	3	+	+	SYM
ejpam-5796	107	4	1)−	1)−	NUM
ejpam-5796	107	5	lng(z	lng(z	NOUN
ejpam-5796	107	6	;	;	PUNCT
ejpam-5796	107	7	t	t	PROPN
ejpam-5796	107	8	,	,	PUNCT
ejpam-5796	107	9	β	β	X
ejpam-5796	107	10	,	,	PUNCT
ejpam-5796	107	11	γ	γ	NOUN
ejpam-5796	107	12	)	)	PUNCT
ejpam-5796	107	13	]	]	PUNCT
ejpam-5796	107	14	(	(	PUNCT
ejpam-5796	107	15	30	30	NUM
ejpam-5796	107	16	)	)	PUNCT
ejpam-5796	107	17	(	(	PUNCT
ejpam-5796	107	18	ix	ix	PROPN
ejpam-5796	107	19	)	)	PUNCT
ejpam-5796	107	20	awad	awad	PROPN
ejpam-5796	107	21	’s	’s	PART
ejpam-5796	107	22	entropy	entropy	PROPN
ejpam-5796	107	23	of	of	ADP
ejpam-5796	107	24	eed	eed	PROPN
ejpam-5796	107	25	and	and	CCONJ
ejpam-5796	107	26	teed	teed	NOUN
ejpam-5796	107	27	is	be	AUX
ejpam-5796	107	28	given	give	VERB
ejpam-5796	107	29	as	as	ADP
ejpam-5796	107	30	:	:	PUNCT
ejpam-5796	107	31	ξa2(y	ξa2(y	NOUN
ejpam-5796	107	32	)	)	PUNCT
ejpam-5796	107	33	=	=	SYM
ejpam-5796	107	34	1	1	NUM
ejpam-5796	107	35	ς	ς	NOUN
ejpam-5796	107	36	−	−	PROPN
ejpam-5796	107	37	1	1	NUM
ejpam-5796	107	38	ln	ln	NOUN
ejpam-5796	107	39	[	[	PUNCT
ejpam-5796	107	40	1	1	NUM
ejpam-5796	107	41	δς	δς	NOUN
ejpam-5796	107	42	−	−	PROPN
ejpam-5796	107	43	1	1	NUM
ejpam-5796	107	44	{	{	PUNCT
ejpam-5796	107	45	log(βγ	log(βγ	NOUN
ejpam-5796	107	46	)	)	PUNCT
ejpam-5796	107	47	+	+	CCONJ
ejpam-5796	107	48	log	log	VERB
ejpam-5796	107	49	β	β	NOUN
ejpam-5796	107	50	+	+	CCONJ
ejpam-5796	107	51	logb(ς	logb(ς	PROPN
ejpam-5796	107	52	,	,	PUNCT
ejpam-5796	107	53	ς(β	ς(β	PROPN
ejpam-5796	107	54	−	−	NOUN
ejpam-5796	107	55	1	1	NUM
ejpam-5796	107	56	)	)	PUNCT
ejpam-5796	107	57	+	+	CCONJ
ejpam-5796	107	58	1	1	X
ejpam-5796	107	59	)	)	PUNCT
ejpam-5796	107	60	1−	1−	NUM
ejpam-5796	107	61	ς	ς	PROPN
ejpam-5796	107	62	}	}	PUNCT
ejpam-5796	107	63	]	]	PUNCT
ejpam-5796	107	64	(	(	PUNCT
ejpam-5796	107	65	31	31	NUM
ejpam-5796	107	66	)	)	PUNCT
ejpam-5796	107	67	ξa2(z	ξa2(z	PROPN
ejpam-5796	107	68	)	)	PUNCT
ejpam-5796	107	69	=	=	SYM
ejpam-5796	108	1	1	1	NUM
ejpam-5796	108	2	ς	ς	NOUN
ejpam-5796	108	3	−	−	PROPN
ejpam-5796	108	4	1	1	NUM
ejpam-5796	108	5	ln	ln	NOUN
ejpam-5796	108	6	[	[	PUNCT
ejpam-5796	108	7	1	1	NUM
ejpam-5796	108	8	δς	δς	NOUN
ejpam-5796	108	9	−	−	PROPN
ejpam-5796	108	10	1	1	NUM
ejpam-5796	108	11	{	{	PUNCT
ejpam-5796	108	12	log	log	NOUN
ejpam-5796	108	13	(	(	PUNCT
ejpam-5796	108	14	βγ	βγ	X
ejpam-5796	108	15	(	(	PUNCT
ejpam-5796	108	16	1−	1−	NUM
ejpam-5796	108	17	e−γt)β	e−γt)β	PROPN
ejpam-5796	108	18	)	)	PUNCT
ejpam-5796	109	1	+	+	CCONJ
ejpam-5796	109	2	log	log	VERB
ejpam-5796	109	3	β	β	NOUN
ejpam-5796	109	4	+	+	CCONJ
ejpam-5796	109	5	logb(ς	logb(ς	PROPN
ejpam-5796	109	6	,	,	PUNCT
ejpam-5796	109	7	ς(β	ς(β	PROPN
ejpam-5796	109	8	−	−	NOUN
ejpam-5796	109	9	1	1	NUM
ejpam-5796	109	10	)	)	PUNCT
ejpam-5796	109	11	+	+	CCONJ
ejpam-5796	109	12	1	1	X
ejpam-5796	109	13	)	)	PUNCT
ejpam-5796	109	14	1−	1−	NUM
ejpam-5796	109	15	ς	ς	PROPN
ejpam-5796	109	16	}	}	PUNCT
ejpam-5796	109	17	]	]	PUNCT
ejpam-5796	109	18	(	(	PUNCT
ejpam-5796	109	19	32	32	NUM
ejpam-5796	109	20	)	)	PUNCT
ejpam-5796	109	21	(	(	PUNCT
ejpam-5796	109	22	x	x	X
ejpam-5796	109	23	)	)	PUNCT
ejpam-5796	109	24	awad	awad	PROPN
ejpam-5796	109	25	’s	’s	PART
ejpam-5796	109	26	entropy	entropy	PROPN
ejpam-5796	109	27	of	of	ADP
ejpam-5796	109	28	eed	eed	PROPN
ejpam-5796	109	29	and	and	CCONJ
ejpam-5796	109	30	teed	teed	NOUN
ejpam-5796	109	31	is	be	AUX
ejpam-5796	109	32	given	give	VERB
ejpam-5796	109	33	as	as	ADP
ejpam-5796	109	34	:	:	PUNCT
ejpam-5796	109	35	ξa3(y	ξa3(y	NUM
ejpam-5796	109	36	)	)	PUNCT
ejpam-5796	109	37	=	=	SYM
ejpam-5796	109	38	1	1	NUM
ejpam-5796	109	39	2ς−1	2ς−1	NUM
ejpam-5796	109	40	−	−	NOUN
ejpam-5796	109	41	1	1	NUM
ejpam-5796	109	42	[	[	PUNCT
ejpam-5796	109	43	1	1	NUM
ejpam-5796	109	44	δς	δς	NOUN
ejpam-5796	109	45	−	−	PROPN
ejpam-5796	109	46	1	1	NUM
ejpam-5796	109	47	{	{	PUNCT
ejpam-5796	109	48	log(βγ	log(βγ	NOUN
ejpam-5796	109	49	)	)	PUNCT
ejpam-5796	110	1	+	+	CCONJ
ejpam-5796	110	2	log	log	VERB
ejpam-5796	110	3	β	β	NOUN
ejpam-5796	110	4	+	+	CCONJ
ejpam-5796	110	5	logb(ς	logb(ς	PROPN
ejpam-5796	110	6	,	,	PUNCT
ejpam-5796	110	7	ς(β	ς(β	PROPN
ejpam-5796	110	8	−	−	NOUN
ejpam-5796	110	9	1	1	NUM
ejpam-5796	110	10	)	)	PUNCT
ejpam-5796	110	11	+	+	CCONJ
ejpam-5796	110	12	1	1	X
ejpam-5796	110	13	)	)	PUNCT
ejpam-5796	110	14	1−	1−	NUM
ejpam-5796	110	15	ς	ς	PROPN
ejpam-5796	110	16	}	}	PUNCT
ejpam-5796	110	17	]	]	PUNCT
ejpam-5796	110	18	(	(	PUNCT
ejpam-5796	110	19	33	33	NUM
ejpam-5796	110	20	)	)	PUNCT
ejpam-5796	110	21	ξa3(z	ξa3(z	PROPN
ejpam-5796	110	22	)	)	PUNCT
ejpam-5796	110	23	=	=	SYM
ejpam-5796	110	24	1	1	NUM
ejpam-5796	110	25	2ς−1	2ς−1	NUM
ejpam-5796	110	26	−	−	NOUN
ejpam-5796	110	27	1	1	NUM
ejpam-5796	110	28	[	[	PUNCT
ejpam-5796	110	29	1	1	NUM
ejpam-5796	110	30	δς	δς	NOUN
ejpam-5796	110	31	−	−	PROPN
ejpam-5796	110	32	1	1	NUM
ejpam-5796	110	33	{	{	PUNCT
ejpam-5796	110	34	log	log	NOUN
ejpam-5796	110	35	(	(	PUNCT
ejpam-5796	110	36	βγ	βγ	X
ejpam-5796	110	37	(	(	PUNCT
ejpam-5796	110	38	1−	1−	NUM
ejpam-5796	110	39	e−γt)β	e−γt)β	PROPN
ejpam-5796	110	40	)	)	PUNCT
ejpam-5796	111	1	+	+	CCONJ
ejpam-5796	112	1	log	log	VERB
ejpam-5796	112	2	β	β	NOUN
ejpam-5796	112	3	+	+	CCONJ
ejpam-5796	112	4	logb(ς	logb(ς	PROPN
ejpam-5796	112	5	,	,	PUNCT
ejpam-5796	112	6	ς(β	ς(β	PROPN
ejpam-5796	112	7	−	−	NOUN
ejpam-5796	112	8	1	1	NUM
ejpam-5796	112	9	)	)	PUNCT
ejpam-5796	112	10	+	+	CCONJ
ejpam-5796	112	11	1	1	X
ejpam-5796	112	12	)	)	PUNCT
ejpam-5796	112	13	1−	1−	NUM
ejpam-5796	112	14	ς	ς	PROPN
ejpam-5796	112	15	}	}	PUNCT
ejpam-5796	112	16	]	]	PUNCT
ejpam-5796	112	17	(	(	PUNCT
ejpam-5796	112	18	34	34	NUM
ejpam-5796	112	19	)	)	PUNCT
ejpam-5796	112	20	4	4	NUM
ejpam-5796	112	21	.	.	NOUN
ejpam-5796	112	22	results	result	NOUN
ejpam-5796	112	23	and	and	CCONJ
ejpam-5796	112	24	discussion	discussion	NOUN
ejpam-5796	112	25	in	in	ADP
ejpam-5796	112	26	this	this	DET
ejpam-5796	112	27	section	section	NOUN
ejpam-5796	112	28	,	,	PUNCT
ejpam-5796	112	29	the	the	DET
ejpam-5796	112	30	results	result	NOUN
ejpam-5796	112	31	of	of	ADP
ejpam-5796	112	32	entropies	entropy	NOUN
ejpam-5796	112	33	using	use	VERB
ejpam-5796	112	34	different	different	ADJ
ejpam-5796	112	35	parametric	parametric	ADJ
ejpam-5796	112	36	values	value	NOUN
ejpam-5796	112	37	of	of	ADP
ejpam-5796	112	38	(	(	PUNCT
ejpam-5796	112	39	β	β	X
ejpam-5796	112	40	,	,	PUNCT
ejpam-5796	112	41	γ	γ	PROPN
ejpam-5796	112	42	,	,	PUNCT
ejpam-5796	112	43	ς	ς	PROPN
ejpam-5796	112	44	and	and	CCONJ
ejpam-5796	112	45	t	t	PROPN
ejpam-5796	112	46	)	)	PUNCT
ejpam-5796	112	47	are	be	AUX
ejpam-5796	112	48	discussed	discuss	VERB
ejpam-5796	112	49	.	.	PUNCT
ejpam-5796	113	1	in	in	ADP
ejpam-5796	113	2	table	table	NOUN
ejpam-5796	113	3	(	(	PUNCT
ejpam-5796	113	4	1	1	NUM
ejpam-5796	113	5	)	)	PUNCT
ejpam-5796	113	6	and	and	CCONJ
ejpam-5796	113	7	(	(	PUNCT
ejpam-5796	113	8	2	2	NUM
ejpam-5796	113	9	)	)	PUNCT
ejpam-5796	113	10	,	,	PUNCT
ejpam-5796	113	11	the	the	DET
ejpam-5796	113	12	combination	combination	NOUN
ejpam-5796	113	13	of	of	ADP
ejpam-5796	113	14	different	different	ADJ
ejpam-5796	113	15	parametric	parametric	ADJ
ejpam-5796	113	16	values	value	NOUN
ejpam-5796	113	17	are	be	AUX
ejpam-5796	113	18	to	to	PART
ejpam-5796	113	19	be	be	AUX
ejpam-5796	113	20	chosen	choose	VERB
ejpam-5796	113	21	as	as	ADP
ejpam-5796	113	22	(	(	PUNCT
ejpam-5796	113	23	β	β	X
ejpam-5796	113	24	=)	=)	PROPN
ejpam-5796	113	25	,	,	PUNCT
ejpam-5796	113	26	(	(	PUNCT
ejpam-5796	113	27	γ	γ	X
ejpam-5796	113	28	=)	=)	PROPN
ejpam-5796	113	29	and	and	CCONJ
ejpam-5796	113	30	(	(	PUNCT
ejpam-5796	113	31	ς	ς	PROPN
ejpam-5796	113	32	=)	=)	PROPN
ejpam-5796	113	33	.	.	PROPN
ejpam-5796	114	1	on	on	ADP
ejpam-5796	114	2	the	the	DET
ejpam-5796	114	3	basis	basis	NOUN
ejpam-5796	114	4	of	of	ADP
ejpam-5796	114	5	these	these	DET
ejpam-5796	114	6	combinations	combination	NOUN
ejpam-5796	114	7	of	of	ADP
ejpam-5796	114	8	parametric	parametric	ADJ
ejpam-5796	114	9	values	value	NOUN
ejpam-5796	114	10	,	,	PUNCT
ejpam-5796	114	11	the	the	DET
ejpam-5796	114	12	relative	relative	ADJ
ejpam-5796	114	13	loss	loss	NOUN
ejpam-5796	114	14	function	function	NOUN
ejpam-5796	114	15	is	be	AUX
ejpam-5796	114	16	calculated	calculate	VERB
ejpam-5796	114	17	.	.	PUNCT
ejpam-5796	115	1	in	in	ADP
ejpam-5796	115	2	table	table	NOUN
ejpam-5796	115	3	(	(	PUNCT
ejpam-5796	115	4	3	3	NUM
ejpam-5796	115	5	)	)	PUNCT
ejpam-5796	115	6	and	and	CCONJ
ejpam-5796	115	7	(	(	PUNCT
ejpam-5796	115	8	4	4	X
ejpam-5796	115	9	)	)	PUNCT
ejpam-5796	115	10	illustrate	illustrate	VERB
ejpam-5796	115	11	that	that	DET
ejpam-5796	115	12	relative	relative	ADJ
ejpam-5796	115	13	loss	loss	NOUN
ejpam-5796	115	14	of	of	ADP
ejpam-5796	115	15	all	all	DET
ejpam-5796	115	16	entropies	entropy	NOUN
ejpam-5796	115	17	for	for	ADP
ejpam-5796	115	18	exponnetiated	exponnetiated	ADJ
ejpam-5796	115	19	exponential	exponential	NOUN
ejpam-5796	115	20	and	and	CCONJ
ejpam-5796	115	21	trucated	trucate	VERB
ejpam-5796	115	22	expoenentiated	expoenentiate	VERB
ejpam-5796	115	23	exponential	exponential	ADJ
ejpam-5796	115	24	distribution	distribution	NOUN
ejpam-5796	115	25	.	.	PUNCT
ejpam-5796	116	1	the	the	DET
ejpam-5796	116	2	result	result	NOUN
ejpam-5796	116	3	reveal	reveal	VERB
ejpam-5796	116	4	that	that	SCONJ
ejpam-5796	116	5	with	with	ADP
ejpam-5796	116	6	an	an	DET
ejpam-5796	116	7	increasing	increasing	NOUN
ejpam-5796	116	8	in	in	ADP
ejpam-5796	116	9	the	the	DET
ejpam-5796	116	10	value	value	NOUN
ejpam-5796	116	11	of	of	ADP
ejpam-5796	116	12	shape	shape	NOUN
ejpam-5796	116	13	parameter	parameter	PROPN
ejpam-5796	116	14	t	t	PROPN
ejpam-5796	116	15	,	,	PUNCT
ejpam-5796	116	16	the	the	DET
ejpam-5796	116	17	entropy	entropy	NOUN
ejpam-5796	116	18	measures	measure	NOUN
ejpam-5796	116	19	show	show	VERB
ejpam-5796	116	20	a	a	DET
ejpam-5796	116	21	decreasing	decrease	VERB
ejpam-5796	116	22	behavior	behavior	NOUN
ejpam-5796	116	23	and	and	CCONJ
ejpam-5796	116	24	same	same	ADJ
ejpam-5796	116	25	in	in	ADP
ejpam-5796	116	26	the	the	DET
ejpam-5796	116	27	same	same	ADJ
ejpam-5796	116	28	of	of	ADP
ejpam-5796	116	29	parameter	parameter	NOUN
ejpam-5796	116	30	t.	t.	NOUN
ejpam-5796	116	31	table	table	NOUN
ejpam-5796	116	32	(	(	PUNCT
ejpam-5796	116	33	3	3	NUM
ejpam-5796	116	34	)	)	PUNCT
ejpam-5796	116	35	and	and	CCONJ
ejpam-5796	116	36	(	(	PUNCT
ejpam-5796	116	37	4	4	X
ejpam-5796	116	38	)	)	PUNCT
ejpam-5796	116	39	shows	show	VERB
ejpam-5796	116	40	that	that	SCONJ
ejpam-5796	116	41	as	as	ADP
ejpam-5796	116	42	’	'	PUNCT
ejpam-5796	116	43	t	t	NOUN
ejpam-5796	116	44	’	'	PUNCT
ejpam-5796	116	45	increases	increase	NOUN
ejpam-5796	116	46	,	,	PUNCT
ejpam-5796	116	47	the	the	DET
ejpam-5796	116	48	shannon	shannon	PROPN
ejpam-5796	116	49	entropy	entropy	PROPN
ejpam-5796	116	50	decreases	decrease	VERB
ejpam-5796	116	51	,	,	PUNCT
ejpam-5796	116	52	whereas	whereas	SCONJ
ejpam-5796	116	53	with	with	SCONJ
ejpam-5796	116	54	the	the	DET
ejpam-5796	116	55	increase	increase	NOUN
ejpam-5796	116	56	of	of	ADP
ejpam-5796	116	57	truncated	truncated	ADJ
ejpam-5796	116	58	parameter	parameter	NOUN
ejpam-5796	116	59	’	'	PUNCT
ejpam-5796	116	60	t	t	PROPN
ejpam-5796	116	61	’	'	PUNCT
ejpam-5796	116	62	decreases	decrease	VERB
ejpam-5796	116	63	renyi	renyi	PROPN
ejpam-5796	116	64	,	,	PUNCT
ejpam-5796	116	65	tsalli	tsalli	NOUN
ejpam-5796	116	66	,	,	PUNCT
ejpam-5796	116	67	havdra	havdra	NOUN
ejpam-5796	116	68	and	and	CCONJ
ejpam-5796	116	69	increases	increase	NOUN
ejpam-5796	116	70	.	.	PUNCT
ejpam-5796	117	1	in	in	ADP
ejpam-5796	117	2	table	table	NOUN
ejpam-5796	117	3	(	(	PUNCT
ejpam-5796	117	4	1	1	NUM
ejpam-5796	117	5	)	)	PUNCT
ejpam-5796	117	6	and	and	CCONJ
ejpam-5796	117	7	(	(	PUNCT
ejpam-5796	117	8	2	2	NUM
ejpam-5796	117	9	)	)	PUNCT
ejpam-5796	117	10	,	,	PUNCT
ejpam-5796	117	11	shows	show	VERB
ejpam-5796	117	12	clear	clear	ADJ
ejpam-5796	117	13	findings	finding	NOUN
ejpam-5796	117	14	but	but	CCONJ
ejpam-5796	117	15	requires	require	VERB
ejpam-5796	117	16	deeper	deep	ADJ
ejpam-5796	117	17	exploration	exploration	NOUN
ejpam-5796	117	18	of	of	ADP
ejpam-5796	117	19	entropy	entropy	NOUN
ejpam-5796	117	20	behavior	behavior	NOUN
ejpam-5796	117	21	changes	change	VERB
ejpam-5796	117	22	across	across	ADP
ejpam-5796	117	23	different	different	ADJ
ejpam-5796	117	24	parameter	parameter	NOUN
ejpam-5796	117	25	adjustments	adjustment	NOUN
ejpam-5796	117	26	.	.	PUNCT
ejpam-5796	118	1	the	the	DET
ejpam-5796	118	2	conclusion	conclusion	NOUN
ejpam-5796	118	3	needs	need	VERB
ejpam-5796	118	4	to	to	PART
ejpam-5796	118	5	show	show	VERB
ejpam-5796	118	6	how	how	SCONJ
ejpam-5796	118	7	parameter	parameter	NOUN
ejpam-5796	118	8	t	t	PROPN
ejpam-5796	118	9	makes	make	VERB
ejpam-5796	118	10	shannon	shannon	PROPN
ejpam-5796	118	11	entropy	entropy	PROPN
ejpam-5796	118	12	grow	grow	VERB
ejpam-5796	118	13	since	since	SCONJ
ejpam-5796	118	14	the	the	DET
ejpam-5796	118	15	study	study	NOUN
ejpam-5796	118	16	does	do	AUX
ejpam-5796	118	17	not	not	PART
ejpam-5796	118	18	explain	explain	VERB
ejpam-5796	118	19	this	this	DET
ejpam-5796	118	20	pattern	pattern	NOUN
ejpam-5796	118	21	clearly	clearly	ADV
ejpam-5796	118	22	.	.	PUNCT
ejpam-5796	119	1	an	an	DET
ejpam-5796	119	2	examination	examination	NOUN
ejpam-5796	119	3	of	of	ADP
ejpam-5796	119	4	the	the	DET
ejpam-5796	119	5	parameter	parameter	NOUN
ejpam-5796	119	6	t	t	PROPN
ejpam-5796	119	7	and	and	CCONJ
ejpam-5796	119	8	its	its	PRON
ejpam-5796	119	9	effects	effect	NOUN
ejpam-5796	119	10	on	on	ADP
ejpam-5796	119	11	the	the	DET
ejpam-5796	119	12	pdf	pdf	NOUN
ejpam-5796	119	13	reveals	reveal	VERB
ejpam-5796	119	14	how	how	SCONJ
ejpam-5796	119	15	changes	change	NOUN
ejpam-5796	119	16	in	in	ADP
ejpam-5796	119	17	t	t	PROPN
ejpam-5796	119	18	affect	affect	VERB
ejpam-5796	119	19	the	the	DET
ejpam-5796	119	20	distribution	distribution	NOUN
ejpam-5796	119	21	shape	shape	NOUN
ejpam-5796	119	22	to	to	PART
ejpam-5796	119	23	influence	influence	NOUN
ejpam-5796	119	24	uncertainty	uncertainty	NOUN
ejpam-5796	119	25	as	as	SCONJ
ejpam-5796	119	26	measured	measure	VERB
ejpam-5796	119	27	by	by	ADP
ejpam-5796	119	28	shannon	shannon	PROPN
ejpam-5796	119	29	entropy	entropy	PROPN
ejpam-5796	119	30	.	.	PUNCT
ejpam-5796	120	1	examining	examine	VERB
ejpam-5796	120	2	this	this	DET
ejpam-5796	120	3	behavior	behavior	NOUN
ejpam-5796	120	4	in	in	ADP
ejpam-5796	120	5	specific	specific	ADJ
ejpam-5796	120	6	settings	setting	NOUN
ejpam-5796	120	7	such	such	ADJ
ejpam-5796	120	8	as	as	ADP
ejpam-5796	120	9	reliability	reliability	NOUN
ejpam-5796	120	10	tests	test	NOUN
ejpam-5796	120	11	and	and	CCONJ
ejpam-5796	120	12	survival	survival	NOUN
ejpam-5796	120	13	experiments	experiment	NOUN
ejpam-5796	120	14	will	will	AUX
ejpam-5796	120	15	provide	provide	VERB
ejpam-5796	120	16	useful	useful	ADJ
ejpam-5796	120	17	practical	practical	ADJ
ejpam-5796	120	18	interpretation	interpretation	NOUN
ejpam-5796	120	19	for	for	ADP
ejpam-5796	120	20	the	the	DET
ejpam-5796	120	21	results	result	NOUN
ejpam-5796	120	22	.	.	PUNCT
ejpam-5796	121	1	the	the	DET
ejpam-5796	121	2	additional	additional	ADJ
ejpam-5796	121	3	j.	j.	PROPN
ejpam-5796	121	4	g.	g.	PROPN
ejpam-5796	121	5	dar	dar	PROPN
ejpam-5796	121	6	,	,	PUNCT
ejpam-5796	121	7	i.	i.	PROPN
ejpam-5796	121	8	sajjad	sajjad	PROPN
ejpam-5796	121	9	,	,	PUNCT
ejpam-5796	121	10	s.	s.	PROPN
ejpam-5796	121	11	tamboli	tamboli	PROPN
ejpam-5796	121	12	/	/	SYM
ejpam-5796	121	13	eur	eur	PROPN
ejpam-5796	121	14	.	.	PUNCT
ejpam-5796	122	1	j.	j.	PROPN
ejpam-5796	122	2	pure	pure	PROPN
ejpam-5796	122	3	appl	appl	PROPN
ejpam-5796	122	4	.	.	PROPN
ejpam-5796	122	5	math	math	PROPN
ejpam-5796	122	6	,	,	PUNCT
ejpam-5796	122	7	18	18	NUM
ejpam-5796	122	8	(	(	PUNCT
ejpam-5796	122	9	2	2	NUM
ejpam-5796	122	10	)	)	PUNCT
ejpam-5796	122	11	(	(	PUNCT
ejpam-5796	122	12	2025	2025	NUM
ejpam-5796	122	13	)	)	PUNCT
ejpam-5796	122	14	,	,	PUNCT
ejpam-5796	122	15	5796	5796	NUM
ejpam-5796	122	16	7	7	NUM
ejpam-5796	122	17	of	of	ADP
ejpam-5796	122	18	17	17	NUM
ejpam-5796	122	19	analysis	analysis	NOUN
ejpam-5796	122	20	would	would	AUX
ejpam-5796	122	21	improve	improve	VERB
ejpam-5796	122	22	our	our	PRON
ejpam-5796	122	23	interpretation	interpretation	NOUN
ejpam-5796	122	24	of	of	ADP
ejpam-5796	122	25	outcomes	outcome	NOUN
ejpam-5796	122	26	while	while	SCONJ
ejpam-5796	122	27	showing	show	VERB
ejpam-5796	122	28	exactly	exactly	ADV
ejpam-5796	122	29	how	how	SCONJ
ejpam-5796	122	30	t	t	NOUN
ejpam-5796	122	31	affects	affect	VERB
ejpam-5796	122	32	the	the	DET
ejpam-5796	122	33	entropy	entropy	NOUN
ejpam-5796	122	34	level	level	NOUN
ejpam-5796	122	35	.	.	PUNCT
ejpam-5796	123	1	table	table	NOUN
ejpam-5796	123	2	.	.	PUNCT
ejpam-5796	124	1	1	1	NUM
ejpam-5796	124	2	entropy	entropy	NOUN
ejpam-5796	124	3	values	value	NOUN
ejpam-5796	124	4	for	for	ADP
ejpam-5796	124	5	exponentiated	exponentiate	VERB
ejpam-5796	124	6	exponential	exponential	ADJ
ejpam-5796	124	7	distribution	distribution	NOUN
ejpam-5796	124	8	using	use	VERB
ejpam-5796	124	9	γ	γ	X
ejpam-5796	124	10	=	=	SYM
ejpam-5796	124	11	0.5	0.5	NUM
ejpam-5796	124	12	,	,	PUNCT
ejpam-5796	124	13	ς	ς	PROPN
ejpam-5796	124	14	=	=	SYM
ejpam-5796	124	15	0.5	0.5	NUM
ejpam-5796	124	16	t	t	NOUN
ejpam-5796	124	17	ξs(y	ξs(y	NUM
ejpam-5796	124	18	)	)	PUNCT
ejpam-5796	124	19	ξr(y	ξr(y	VERB
ejpam-5796	124	20	)	)	PUNCT
ejpam-5796	124	21	ξt	ξt	PROPN
ejpam-5796	124	22	(	(	PUNCT
ejpam-5796	124	23	y	y	NOUN
ejpam-5796	124	24	)	)	PUNCT
ejpam-5796	124	25	ξhc(y	ξhc(y	ADV
ejpam-5796	124	26	)	)	PUNCT
ejpam-5796	124	27	ξar(y	ξar(y	VERB
ejpam-5796	124	28	)	)	PUNCT
ejpam-5796	124	29	ξsm	ξsm	NOUN
ejpam-5796	124	30	(	(	PUNCT
ejpam-5796	124	31	y	y	NOUN
ejpam-5796	124	32	)	)	PUNCT
ejpam-5796	124	33	ξa1(y	ξa1(y	PROPN
ejpam-5796	124	34	)	)	PUNCT
ejpam-5796	124	35	ξa2(y	ξa2(y	NOUN
ejpam-5796	124	36	)	)	PUNCT
ejpam-5796	124	37	ξa3(y	ξa3(y	PROPN
ejpam-5796	124	38	)	)	PUNCT
ejpam-5796	124	39	0.2	0.2	NUM
ejpam-5796	124	40	1.657	1.657	NUM
ejpam-5796	124	41	1.963	1.963	NUM
ejpam-5796	124	42	2.643	2.643	NUM
ejpam-5796	124	43	2.924	2.924	NUM
ejpam-5796	124	44	3.745	3.745	NUM
ejpam-5796	124	45	4.856	4.856	NUM
ejpam-5796	124	46	3.928	3.928	NUM
ejpam-5796	124	47	4.665	4.665	NUM
ejpam-5796	124	48	5.093	5.093	NUM
ejpam-5796	124	49	0.4	0.4	NUM
ejpam-5796	124	50	1.342	1.342	NUM
ejpam-5796	124	51	1.874	1.874	NUM
ejpam-5796	124	52	2.316	2.316	NUM
ejpam-5796	124	53	2.782	2.782	NUM
ejpam-5796	124	54	3.548	3.548	NUM
ejpam-5796	124	55	4.623	4.623	NUM
ejpam-5796	124	56	3.109	3.109	NUM
ejpam-5796	124	57	4.762	4.762	NUM
ejpam-5796	124	58	5.006	5.006	NUM
ejpam-5796	124	59	0.6	0.6	NUM
ejpam-5796	124	60	1.137	1.137	NUM
ejpam-5796	124	61	1.509	1.509	NUM
ejpam-5796	124	62	2.078	2.078	NUM
ejpam-5796	124	63	2.663	2.663	NUM
ejpam-5796	124	64	3.337	3.337	NUM
ejpam-5796	124	65	4.098	4.098	NUM
ejpam-5796	124	66	3.095	3.095	NUM
ejpam-5796	124	67	3.817	3.817	NUM
ejpam-5796	124	68	4.298	4.298	NUM
ejpam-5796	124	69	0.8	0.8	NUM
ejpam-5796	124	70	0.793	0.793	NUM
ejpam-5796	124	71	1.148	1.148	NUM
ejpam-5796	124	72	1.940	1.940	NUM
ejpam-5796	124	73	2.516	2.516	NUM
ejpam-5796	124	74	3.286	3.286	NUM
ejpam-5796	124	75	3.827	3.827	NUM
ejpam-5796	124	76	3.100	3.100	NUM
ejpam-5796	124	77	2.629	2.629	NUM
ejpam-5796	124	78	2.647	2.647	NUM
ejpam-5796	124	79	1.0	1.0	NUM
ejpam-5796	124	80	0.649	0.649	NUM
ejpam-5796	124	81	0.746	0.746	NUM
ejpam-5796	124	82	1.877	1.877	NUM
ejpam-5796	124	83	1.732	1.732	NUM
ejpam-5796	124	84	2.647	2.647	NUM
ejpam-5796	124	85	2.573	2.573	NUM
ejpam-5796	124	86	2.645	2.645	NUM
ejpam-5796	124	87	2.109	2.109	NUM
ejpam-5796	124	88	2.194	2.194	NUM
ejpam-5796	124	89	1.5	1.5	NUM
ejpam-5796	124	90	0.385	0.385	NUM
ejpam-5796	124	91	0.274	0.274	NUM
ejpam-5796	124	92	1.574	1.574	NUM
ejpam-5796	124	93	1.504	1.504	NUM
ejpam-5796	124	94	2.554	2.554	NUM
ejpam-5796	124	95	2.674	2.674	NUM
ejpam-5796	124	96	2.193	2.193	NUM
ejpam-5796	124	97	1.846	1.846	NUM
ejpam-5796	124	98	2.167	2.167	NUM
ejpam-5796	124	99	2.0	2.0	NUM
ejpam-5796	124	100	0.174	0.174	NUM
ejpam-5796	124	101	0.203	0.203	NUM
ejpam-5796	124	102	1.483	1.483	NUM
ejpam-5796	124	103	1.184	1.184	NUM
ejpam-5796	124	104	2.108	2.108	NUM
ejpam-5796	124	105	2.105	2.105	NUM
ejpam-5796	124	106	1.746	1.746	NUM
ejpam-5796	124	107	1.239	1.239	NUM
ejpam-5796	124	108	1.738	1.738	NUM
ejpam-5796	124	109	table	table	NOUN
ejpam-5796	124	110	.	.	PUNCT
ejpam-5796	125	1	2	2	NUM
ejpam-5796	125	2	entropy	entropy	NOUN
ejpam-5796	125	3	values	value	NOUN
ejpam-5796	125	4	for	for	ADP
ejpam-5796	125	5	truncated	truncated	ADJ
ejpam-5796	125	6	exponentiated	exponentiated	ADJ
ejpam-5796	125	7	exponential	exponential	ADJ
ejpam-5796	125	8	distribution	distribution	NOUN
ejpam-5796	125	9	using	use	VERB
ejpam-5796	125	10	β	β	X
ejpam-5796	125	11	=	=	SYM
ejpam-5796	125	12	0.5	0.5	NUM
ejpam-5796	125	13	,	,	PUNCT
ejpam-5796	125	14	γ	γ	NOUN
ejpam-5796	125	15	=	=	SYM
ejpam-5796	125	16	0.5	0.5	NUM
ejpam-5796	125	17	,	,	PUNCT
ejpam-5796	125	18	ς	ς	PROPN
ejpam-5796	125	19	=	=	SYM
ejpam-5796	125	20	0.5	0.5	NUM
ejpam-5796	125	21	t	t	NOUN
ejpam-5796	125	22	ξs(z	ξs(z	NOUN
ejpam-5796	125	23	)	)	PUNCT
ejpam-5796	125	24	ξr(z	ξr(z	NUM
ejpam-5796	125	25	)	)	PUNCT
ejpam-5796	125	26	ξt	ξt	NOUN
ejpam-5796	125	27	(	(	PUNCT
ejpam-5796	125	28	z	z	NOUN
ejpam-5796	125	29	)	)	PUNCT
ejpam-5796	125	30	ξhc(z	ξhc(z	PROPN
ejpam-5796	125	31	)	)	PUNCT
ejpam-5796	125	32	ξar(z	ξar(z	PROPN
ejpam-5796	125	33	)	)	PUNCT
ejpam-5796	125	34	ξsm	ξsm	NOUN
ejpam-5796	125	35	(	(	PUNCT
ejpam-5796	125	36	z	z	NOUN
ejpam-5796	125	37	)	)	PUNCT
ejpam-5796	125	38	ξa1(z	ξa1(z	PROPN
ejpam-5796	125	39	)	)	PUNCT
ejpam-5796	125	40	ξa2(z	ξa2(z	PROPN
ejpam-5796	125	41	)	)	PUNCT
ejpam-5796	125	42	ξa3(z	ξa3(z	PROPN
ejpam-5796	125	43	)	)	PUNCT
ejpam-5796	125	44	0.2	0.2	NUM
ejpam-5796	125	45	2.115	2.115	NUM
ejpam-5796	125	46	2.376	2.376	NUM
ejpam-5796	125	47	3.147	3.147	NUM
ejpam-5796	125	48	3.667	3.667	NUM
ejpam-5796	125	49	2.873	2.873	NUM
ejpam-5796	125	50	4.095	4.095	NUM
ejpam-5796	125	51	4.868	4.868	NUM
ejpam-5796	125	52	3.017	3.017	NUM
ejpam-5796	125	53	3.029	3.029	NUM
ejpam-5796	125	54	0.4	0.4	NUM
ejpam-5796	125	55	2.120	2.120	NUM
ejpam-5796	125	56	2.101	2.101	NUM
ejpam-5796	125	57	2.885	2.885	NUM
ejpam-5796	125	58	2.920	2.920	NUM
ejpam-5796	125	59	2.665	2.665	NUM
ejpam-5796	125	60	4.092	4.092	NUM
ejpam-5796	125	61	4.782	4.782	NUM
ejpam-5796	125	62	2.774	2.774	NUM
ejpam-5796	125	63	2.894	2.894	NUM
ejpam-5796	125	64	0.6	0.6	NUM
ejpam-5796	125	65	1.742	1.742	NUM
ejpam-5796	125	66	1.939	1.939	NUM
ejpam-5796	125	67	2.638	2.638	NUM
ejpam-5796	125	68	2.830	2.830	NUM
ejpam-5796	125	69	2.483	2.483	NUM
ejpam-5796	125	70	3.759	3.759	NUM
ejpam-5796	125	71	4.692	4.692	NUM
ejpam-5796	125	72	2.648	2.648	NUM
ejpam-5796	125	73	2.777	2.777	NUM
ejpam-5796	125	74	0.8	0.8	NUM
ejpam-5796	125	75	1.093	1.093	NUM
ejpam-5796	125	76	1.254	1.254	NUM
ejpam-5796	125	77	2.440	2.440	NUM
ejpam-5796	125	78	2.755	2.755	NUM
ejpam-5796	125	79	2.387	2.387	NUM
ejpam-5796	125	80	3.284	3.284	NUM
ejpam-5796	125	81	4.553	4.553	NUM
ejpam-5796	125	82	2.371	2.371	NUM
ejpam-5796	125	83	2.474	2.474	NUM
ejpam-5796	125	84	1.0	1.0	NUM
ejpam-5796	125	85	0.877	0.877	NUM
ejpam-5796	125	86	1.093	1.093	NUM
ejpam-5796	125	87	2.143	2.143	NUM
ejpam-5796	125	88	2.163	2.163	NUM
ejpam-5796	125	89	2.194	2.194	NUM
ejpam-5796	125	90	3.119	3.119	NUM
ejpam-5796	125	91	4.284	4.284	NUM
ejpam-5796	125	92	2.531	2.531	NUM
ejpam-5796	125	93	2.389	2.389	NUM
ejpam-5796	125	94	1.5	1.5	NUM
ejpam-5796	125	95	0.289	0.289	NUM
ejpam-5796	125	96	1.035	1.035	NUM
ejpam-5796	125	97	1.873	1.873	NUM
ejpam-5796	125	98	1.934	1.934	NUM
ejpam-5796	125	99	2.003	2.003	NUM
ejpam-5796	125	100	2.648	2.648	NUM
ejpam-5796	125	101	3.298	3.298	NUM
ejpam-5796	125	102	1.783	1.783	NUM
ejpam-5796	125	103	1.586	1.586	NUM
ejpam-5796	125	104	2.0	2.0	NUM
ejpam-5796	125	105	0.093	0.093	NUM
ejpam-5796	125	106	0.727	0.727	NUM
ejpam-5796	125	107	1.443	1.443	NUM
ejpam-5796	125	108	1.932	1.932	NUM
ejpam-5796	125	109	1.903	1.903	NUM
ejpam-5796	125	110	2.465	2.465	NUM
ejpam-5796	125	111	3.266	3.266	NUM
ejpam-5796	125	112	1.367	1.367	NUM
ejpam-5796	125	113	1.382	1.382	NUM
ejpam-5796	125	114	table	table	NOUN
ejpam-5796	125	115	.	.	PUNCT
ejpam-5796	126	1	3	3	NUM
ejpam-5796	126	2	entropy	entropy	NOUN
ejpam-5796	126	3	values	value	NOUN
ejpam-5796	126	4	for	for	ADP
ejpam-5796	126	5	exponentiated	exponentiate	VERB
ejpam-5796	126	6	exponential	exponential	ADJ
ejpam-5796	126	7	distribution	distribution	NOUN
ejpam-5796	126	8	using	use	VERB
ejpam-5796	126	9	γ	γ	X
ejpam-5796	126	10	=	=	SYM
ejpam-5796	126	11	1	1	NUM
ejpam-5796	126	12	,	,	PUNCT
ejpam-5796	126	13	ς	ς	PROPN
ejpam-5796	126	14	=	=	SYM
ejpam-5796	126	15	0.5	0.5	NUM
ejpam-5796	126	16	t	t	NOUN
ejpam-5796	126	17	ξs(y	ξs(y	NUM
ejpam-5796	126	18	)	)	PUNCT
ejpam-5796	126	19	ξr(y	ξr(y	VERB
ejpam-5796	126	20	)	)	PUNCT
ejpam-5796	126	21	ξt	ξt	PROPN
ejpam-5796	126	22	(	(	PUNCT
ejpam-5796	126	23	y	y	NOUN
ejpam-5796	126	24	)	)	PUNCT
ejpam-5796	126	25	ξhc(y	ξhc(y	ADV
ejpam-5796	126	26	)	)	PUNCT
ejpam-5796	126	27	ξar(y	ξar(y	VERB
ejpam-5796	126	28	)	)	PUNCT
ejpam-5796	126	29	ξsm	ξsm	NOUN
ejpam-5796	126	30	(	(	PUNCT
ejpam-5796	126	31	y	y	NOUN
ejpam-5796	126	32	)	)	PUNCT
ejpam-5796	126	33	ξa1(y	ξa1(y	PROPN
ejpam-5796	126	34	)	)	PUNCT
ejpam-5796	126	35	ξa2(y	ξa2(y	NOUN
ejpam-5796	126	36	)	)	PUNCT
ejpam-5796	126	37	ξa3(y	ξa3(y	PROPN
ejpam-5796	126	38	)	)	PUNCT
ejpam-5796	126	39	0.2	0.2	NUM
ejpam-5796	126	40	1.657	1.657	NUM
ejpam-5796	126	41	1.966	1.966	NUM
ejpam-5796	126	42	2.678	2.678	NUM
ejpam-5796	126	43	2.967	2.967	NUM
ejpam-5796	126	44	3.775	3.775	NUM
ejpam-5796	126	45	4.886	4.886	NUM
ejpam-5796	126	46	3.968	3.968	NUM
ejpam-5796	126	47	4.625	4.625	NUM
ejpam-5796	126	48	5.396	5.396	NUM
ejpam-5796	126	49	0.4	0.4	NUM
ejpam-5796	126	50	1.342	1.342	NUM
ejpam-5796	126	51	1.874	1.874	NUM
ejpam-5796	126	52	2.416	2.416	NUM
ejpam-5796	126	53	2.682	2.682	NUM
ejpam-5796	126	54	3.548	3.548	NUM
ejpam-5796	126	55	4.623	4.623	NUM
ejpam-5796	126	56	3.759	3.759	NUM
ejpam-5796	126	57	4.592	4.592	NUM
ejpam-5796	126	58	5.106	5.106	NUM
ejpam-5796	126	59	0.6	0.6	NUM
ejpam-5796	126	60	1.137	1.137	NUM
ejpam-5796	126	61	1.489	1.489	NUM
ejpam-5796	126	62	2.383	2.383	NUM
ejpam-5796	126	63	2.563	2.563	NUM
ejpam-5796	126	64	3.437	3.437	NUM
ejpam-5796	126	65	4.098	4.098	NUM
ejpam-5796	126	66	3.355	3.355	NUM
ejpam-5796	126	67	3.817	3.817	NUM
ejpam-5796	126	68	4.598	4.598	NUM
ejpam-5796	126	69	0.8	0.8	NUM
ejpam-5796	126	70	0.593	0.593	NUM
ejpam-5796	126	71	1.133	1.133	NUM
ejpam-5796	126	72	2.001	2.001	NUM
ejpam-5796	126	73	2.416	2.416	NUM
ejpam-5796	126	74	3.386	3.386	NUM
ejpam-5796	126	75	3.827	3.827	NUM
ejpam-5796	126	76	3.180	3.180	NUM
ejpam-5796	126	77	2.399	2.399	NUM
ejpam-5796	126	78	2.511	2.511	NUM
ejpam-5796	126	79	1.0	1.0	NUM
ejpam-5796	126	80	0.449	0.449	NUM
ejpam-5796	126	81	0.564	0.564	NUM
ejpam-5796	126	82	1.977	1.977	NUM
ejpam-5796	126	83	1.432	1.432	NUM
ejpam-5796	126	84	2.447	2.447	NUM
ejpam-5796	126	85	2.573	2.573	NUM
ejpam-5796	126	86	2.954	2.954	NUM
ejpam-5796	126	87	2.299	2.299	NUM
ejpam-5796	126	88	2.135	2.135	NUM
ejpam-5796	126	89	1.5	1.5	NUM
ejpam-5796	126	90	0.225	0.225	NUM
ejpam-5796	126	91	0.255	0.255	NUM
ejpam-5796	126	92	1.774	1.774	NUM
ejpam-5796	126	93	1.274	1.274	NUM
ejpam-5796	126	94	2.354	2.354	NUM
ejpam-5796	126	95	2.674	2.674	NUM
ejpam-5796	126	96	2.138	2.138	NUM
ejpam-5796	126	97	1.743	1.743	NUM
ejpam-5796	126	98	2.163	2.163	NUM
ejpam-5796	126	99	2.0	2.0	NUM
ejpam-5796	126	100	0.134	0.134	NUM
ejpam-5796	126	101	0.225	0.225	NUM
ejpam-5796	126	102	1.383	1.383	NUM
ejpam-5796	126	103	1.214	1.214	NUM
ejpam-5796	126	104	2.158	2.158	NUM
ejpam-5796	126	105	2.105	2.105	NUM
ejpam-5796	126	106	1.746	1.746	NUM
ejpam-5796	126	107	1.295	1.295	NUM
ejpam-5796	126	108	1.908	1.908	NUM
ejpam-5796	126	109	j.	j.	PROPN
ejpam-5796	126	110	g.	g.	PROPN
ejpam-5796	126	111	dar	dar	PROPN
ejpam-5796	126	112	,	,	PUNCT
ejpam-5796	126	113	i.	i.	PROPN
ejpam-5796	126	114	sajjad	sajjad	PROPN
ejpam-5796	126	115	,	,	PUNCT
ejpam-5796	126	116	s.	s.	PROPN
ejpam-5796	126	117	tamboli	tamboli	PROPN
ejpam-5796	126	118	/	/	SYM
ejpam-5796	126	119	eur	eur	PROPN
ejpam-5796	126	120	.	.	PUNCT
ejpam-5796	127	1	j.	j.	PROPN
ejpam-5796	127	2	pure	pure	PROPN
ejpam-5796	127	3	appl	appl	PROPN
ejpam-5796	127	4	.	.	PROPN
ejpam-5796	127	5	math	math	PROPN
ejpam-5796	127	6	,	,	PUNCT
ejpam-5796	127	7	18	18	NUM
ejpam-5796	127	8	(	(	PUNCT
ejpam-5796	127	9	2	2	NUM
ejpam-5796	127	10	)	)	PUNCT
ejpam-5796	127	11	(	(	PUNCT
ejpam-5796	127	12	2025	2025	NUM
ejpam-5796	127	13	)	)	PUNCT
ejpam-5796	127	14	,	,	PUNCT
ejpam-5796	127	15	5796	5796	NUM
ejpam-5796	127	16	8	8	NUM
ejpam-5796	127	17	of	of	ADP
ejpam-5796	127	18	17	17	NUM
ejpam-5796	127	19	table	table	NOUN
ejpam-5796	127	20	.	.	PUNCT
ejpam-5796	128	1	4	4	NUM
ejpam-5796	128	2	entropy	entropy	NOUN
ejpam-5796	128	3	values	value	NOUN
ejpam-5796	128	4	for	for	ADP
ejpam-5796	128	5	truncated	truncated	ADJ
ejpam-5796	128	6	exponentiated	exponentiated	ADJ
ejpam-5796	128	7	exponential	exponential	ADJ
ejpam-5796	128	8	distribution	distribution	NOUN
ejpam-5796	128	9	using	use	VERB
ejpam-5796	128	10	β	β	X
ejpam-5796	128	11	=	=	SYM
ejpam-5796	128	12	1	1	NUM
ejpam-5796	128	13	,	,	PUNCT
ejpam-5796	128	14	γ	γ	NOUN
ejpam-5796	128	15	=	=	SYM
ejpam-5796	128	16	0.5	0.5	NUM
ejpam-5796	128	17	,	,	PUNCT
ejpam-5796	128	18	ς	ς	PROPN
ejpam-5796	128	19	=	=	SYM
ejpam-5796	128	20	0.5	0.5	NUM
ejpam-5796	128	21	t	t	NOUN
ejpam-5796	128	22	ξs(z	ξs(z	NOUN
ejpam-5796	128	23	)	)	PUNCT
ejpam-5796	128	24	ξr(z	ξr(z	NUM
ejpam-5796	128	25	)	)	PUNCT
ejpam-5796	128	26	ξt	ξt	NOUN
ejpam-5796	128	27	(	(	PUNCT
ejpam-5796	128	28	z	z	NOUN
ejpam-5796	128	29	)	)	PUNCT
ejpam-5796	128	30	ξhc(z	ξhc(z	PROPN
ejpam-5796	128	31	)	)	PUNCT
ejpam-5796	128	32	ξar(z	ξar(z	PROPN
ejpam-5796	128	33	)	)	PUNCT
ejpam-5796	128	34	ξsm	ξsm	NOUN
ejpam-5796	128	35	(	(	PUNCT
ejpam-5796	128	36	z	z	NOUN
ejpam-5796	128	37	)	)	PUNCT
ejpam-5796	128	38	ξa1(z	ξa1(z	PROPN
ejpam-5796	128	39	)	)	PUNCT
ejpam-5796	128	40	ξa2(z	ξa2(z	PROPN
ejpam-5796	128	41	)	)	PUNCT
ejpam-5796	129	1	ξa3(z	ξa3(z	PROPN
ejpam-5796	129	2	)	)	PUNCT
ejpam-5796	129	3	0.2	0.2	NUM
ejpam-5796	129	4	2.875	2.875	NUM
ejpam-5796	129	5	2.576	2.576	NUM
ejpam-5796	129	6	3.147	3.147	NUM
ejpam-5796	129	7	3.467	3.467	NUM
ejpam-5796	129	8	2.874	2.874	NUM
ejpam-5796	129	9	4.198	4.198	NUM
ejpam-5796	129	10	4.848	4.848	NUM
ejpam-5796	129	11	3.298	3.298	NUM
ejpam-5796	129	12	3.328	3.328	NUM
ejpam-5796	129	13	0.4	0.4	NUM
ejpam-5796	129	14	2.120	2.120	NUM
ejpam-5796	129	15	2.101	2.101	NUM
ejpam-5796	129	16	2.885	2.885	NUM
ejpam-5796	129	17	2.920	2.920	NUM
ejpam-5796	129	18	2.835	2.835	NUM
ejpam-5796	129	19	4.000	4.000	NUM
ejpam-5796	129	20	4.782	4.782	NUM
ejpam-5796	129	21	2.981	2.981	NUM
ejpam-5796	129	22	2.894	2.894	NUM
ejpam-5796	129	23	0.6	0.6	NUM
ejpam-5796	129	24	1.772	1.772	NUM
ejpam-5796	129	25	1.939	1.939	NUM
ejpam-5796	129	26	2.638	2.638	NUM
ejpam-5796	129	27	2.995	2.995	NUM
ejpam-5796	129	28	2.383	2.383	NUM
ejpam-5796	129	29	3.399	3.399	NUM
ejpam-5796	129	30	4.392	4.392	NUM
ejpam-5796	129	31	2.859	2.859	NUM
ejpam-5796	129	32	2.782	2.782	NUM
ejpam-5796	129	33	0.8	0.8	NUM
ejpam-5796	129	34	1.871	1.871	NUM
ejpam-5796	129	35	1.254	1.254	NUM
ejpam-5796	129	36	2.440	2.440	NUM
ejpam-5796	129	37	2.834	2.834	NUM
ejpam-5796	129	38	2.297	2.297	NUM
ejpam-5796	129	39	3.194	3.194	NUM
ejpam-5796	129	40	4.153	4.153	NUM
ejpam-5796	129	41	1.671	1.671	NUM
ejpam-5796	129	42	2.445	2.445	NUM
ejpam-5796	129	43	1.0	1.0	NUM
ejpam-5796	129	44	0.763	0.763	NUM
ejpam-5796	129	45	1.093	1.093	NUM
ejpam-5796	129	46	2.143	2.143	NUM
ejpam-5796	129	47	2.163	2.163	NUM
ejpam-5796	129	48	s	s	NOUN
ejpam-5796	129	49	2.138	2.138	NUM
ejpam-5796	129	50	3.023	3.023	NUM
ejpam-5796	129	51	4.004	4.004	NUM
ejpam-5796	129	52	1.531	1.531	NUM
ejpam-5796	129	53	2.348	2.348	NUM
ejpam-5796	129	54	1.5	1.5	NUM
ejpam-5796	129	55	0.588	0.588	NUM
ejpam-5796	129	56	1.035	1.035	NUM
ejpam-5796	129	57	1.873	1.873	NUM
ejpam-5796	129	58	1.934	1.934	NUM
ejpam-5796	129	59	2.107	2.107	NUM
ejpam-5796	129	60	2.578	2.578	NUM
ejpam-5796	129	61	3.549	3.549	NUM
ejpam-5796	129	62	1.295	1.295	NUM
ejpam-5796	129	63	1.993	1.993	NUM
ejpam-5796	129	64	2.0	2.0	NUM
ejpam-5796	129	65	0.210	0.210	NUM
ejpam-5796	129	66	0.727	0.727	NUM
ejpam-5796	129	67	1.443	1.443	NUM
ejpam-5796	129	68	1.932	1.932	NUM
ejpam-5796	129	69	1.903	1.903	NUM
ejpam-5796	129	70	2.480	2.480	NUM
ejpam-5796	129	71	3.103	3.103	NUM
ejpam-5796	129	72	1.609	1.609	NUM
ejpam-5796	129	73	1.758	1.758	NUM
ejpam-5796	129	74	table	table	NOUN
ejpam-5796	129	75	.	.	PUNCT
ejpam-5796	130	1	5	5	NUM
ejpam-5796	130	2	relative	relative	ADJ
ejpam-5796	130	3	loss	loss	NOUN
ejpam-5796	130	4	for	for	ADP
ejpam-5796	130	5	β	β	X
ejpam-5796	130	6	=	=	SYM
ejpam-5796	130	7	0.4	0.4	NUM
ejpam-5796	130	8	,	,	PUNCT
ejpam-5796	130	9	γ	γ	X
ejpam-5796	130	10	=	=	SYM
ejpam-5796	130	11	0.3	0.3	NUM
ejpam-5796	130	12	,	,	PUNCT
ejpam-5796	130	13	ς	ς	PROPN
ejpam-5796	130	14	=	=	SYM
ejpam-5796	130	15	0.5	0.5	NUM
ejpam-5796	130	16	t	t	NOUN
ejpam-5796	130	17	ξs(y	ξs(y	NUM
ejpam-5796	130	18	)	)	PUNCT
ejpam-5796	131	1	ξr(y	ξr(y	VERB
ejpam-5796	131	2	)	)	PUNCT
ejpam-5796	131	3	ξt	ξt	PROPN
ejpam-5796	131	4	(	(	PUNCT
ejpam-5796	131	5	y	y	NOUN
ejpam-5796	131	6	)	)	PUNCT
ejpam-5796	131	7	ξhc(y	ξhc(y	ADV
ejpam-5796	131	8	)	)	PUNCT
ejpam-5796	131	9	ξar(y	ξar(y	VERB
ejpam-5796	131	10	)	)	PUNCT
ejpam-5796	131	11	ξsm	ξsm	NOUN
ejpam-5796	131	12	(	(	PUNCT
ejpam-5796	131	13	y	y	NOUN
ejpam-5796	131	14	)	)	PUNCT
ejpam-5796	131	15	ξa1(y	ξa1(y	PROPN
ejpam-5796	131	16	)	)	PUNCT
ejpam-5796	131	17	ξa2(y	ξa2(y	NOUN
ejpam-5796	131	18	)	)	PUNCT
ejpam-5796	131	19	ξa3(y	ξa3(y	PROPN
ejpam-5796	131	20	)	)	PUNCT
ejpam-5796	131	21	0.2	0.2	NUM
ejpam-5796	131	22	-1.927	-1.927	NUM
ejpam-5796	131	23	1.827	1.827	NUM
ejpam-5796	131	24	1.109	1.109	NUM
ejpam-5796	131	25	1.763	1.763	NUM
ejpam-5796	131	26	1.393	1.393	NUM
ejpam-5796	131	27	1.983	1.983	NUM
ejpam-5796	131	28	1.837	1.837	NUM
ejpam-5796	131	29	1.368	1.368	NUM
ejpam-5796	131	30	1.537	1.537	NUM
ejpam-5796	131	31	0.4	0.4	NUM
ejpam-5796	131	32	-1.812	-1.812	NUM
ejpam-5796	131	33	1.667	1.667	NUM
ejpam-5796	131	34	0.983	0.983	NUM
ejpam-5796	131	35	1.348	1.348	NUM
ejpam-5796	131	36	1.225	1.225	NUM
ejpam-5796	131	37	1.683	1.683	NUM
ejpam-5796	131	38	1.636	1.636	NUM
ejpam-5796	131	39	1.183	1.183	NUM
ejpam-5796	131	40	1.793	1.793	NUM
ejpam-5796	131	41	0.6	0.6	NUM
ejpam-5796	131	42	-1.766	-1.766	NOUN
ejpam-5796	131	43	1.553	1.553	NUM
ejpam-5796	131	44	0.788	0.788	NUM
ejpam-5796	131	45	1.391	1.391	NUM
ejpam-5796	131	46	1.193	1.193	NUM
ejpam-5796	131	47	1.356	1.356	NUM
ejpam-5796	131	48	1.368	1.368	NUM
ejpam-5796	131	49	1.109	1.109	NUM
ejpam-5796	131	50	1.348	1.348	NUM
ejpam-5796	131	51	0.8	0.8	NUM
ejpam-5796	131	52	-1.598	-1.598	NUM
ejpam-5796	131	53	1.428	1.428	NUM
ejpam-5796	131	54	0.639	0.639	NUM
ejpam-5796	131	55	1.164	1.164	NUM
ejpam-5796	131	56	0.683	0.683	NUM
ejpam-5796	131	57	1.227	1.227	NUM
ejpam-5796	131	58	1.311	1.311	NUM
ejpam-5796	131	59	0.924	0.924	NUM
ejpam-5796	131	60	1.039	1.039	NUM
ejpam-5796	131	61	1.0	1.0	NUM
ejpam-5796	131	62	-1.172	-1.172	NUM
ejpam-5796	131	63	1.198	1.198	NUM
ejpam-5796	131	64	0.535	0.535	NUM
ejpam-5796	131	65	1.093	1.093	NUM
ejpam-5796	131	66	0.663	0.663	NUM
ejpam-5796	131	67	1.184	1.184	NUM
ejpam-5796	131	68	0.667	0.667	NUM
ejpam-5796	131	69	0.832	0.832	NUM
ejpam-5796	131	70	0.799	0.799	NUM
ejpam-5796	131	71	1.5	1.5	NUM
ejpam-5796	131	72	-0.411	-0.411	NUM
ejpam-5796	132	1	0.873	0.873	NUM
ejpam-5796	132	2	0.283	0.283	NUM
ejpam-5796	132	3	0.673	0.673	NUM
ejpam-5796	132	4	0.274	0.274	NUM
ejpam-5796	132	5	0.378	0.378	NUM
ejpam-5796	132	6	0.394	0.394	NUM
ejpam-5796	132	7	0.735	0.735	NUM
ejpam-5796	132	8	0.676	0.676	NUM
ejpam-5796	132	9	2.0	2.0	NUM
ejpam-5796	132	10	-0.298	-0.298	NUM
ejpam-5796	132	11	0.374	0.374	NUM
ejpam-5796	132	12	0.016	0.016	NUM
ejpam-5796	132	13	0.336	0.336	NUM
ejpam-5796	132	14	0.738	0.738	NUM
ejpam-5796	132	15	0.274	0.274	NUM
ejpam-5796	132	16	0.297	0.297	NUM
ejpam-5796	132	17	0.338	0.338	NUM
ejpam-5796	132	18	0.448	0.448	NUM
ejpam-5796	132	19	table	table	NOUN
ejpam-5796	132	20	.	.	PUNCT
ejpam-5796	133	1	6	6	NUM
ejpam-5796	133	2	relative	relative	ADJ
ejpam-5796	133	3	loss	loss	NOUN
ejpam-5796	133	4	for	for	ADP
ejpam-5796	133	5	β	β	NOUN
ejpam-5796	133	6	=	=	SYM
ejpam-5796	133	7	0.8	0.8	NUM
ejpam-5796	133	8	,	,	PUNCT
ejpam-5796	133	9	γ	γ	X
ejpam-5796	133	10	=	=	SYM
ejpam-5796	133	11	0.7	0.7	NUM
ejpam-5796	133	12	,	,	PUNCT
ejpam-5796	133	13	ς	ς	PROPN
ejpam-5796	133	14	=	=	NOUN
ejpam-5796	133	15	0.25	0.25	NUM
ejpam-5796	133	16	t	t	NOUN
ejpam-5796	133	17	ξs(z	ξs(z	NOUN
ejpam-5796	133	18	)	)	PUNCT
ejpam-5796	133	19	ξr(z	ξr(z	NUM
ejpam-5796	133	20	)	)	PUNCT
ejpam-5796	133	21	ξt	ξt	NOUN
ejpam-5796	133	22	(	(	PUNCT
ejpam-5796	133	23	z	z	NOUN
ejpam-5796	133	24	)	)	PUNCT
ejpam-5796	133	25	ξhc(z	ξhc(z	PROPN
ejpam-5796	133	26	)	)	PUNCT
ejpam-5796	133	27	ξar(z	ξar(z	PROPN
ejpam-5796	133	28	)	)	PUNCT
ejpam-5796	133	29	ξsm	ξsm	NOUN
ejpam-5796	133	30	(	(	PUNCT
ejpam-5796	133	31	z	z	NOUN
ejpam-5796	133	32	)	)	PUNCT
ejpam-5796	133	33	ξa1(z	ξa1(z	PROPN
ejpam-5796	133	34	)	)	PUNCT
ejpam-5796	133	35	ξa2(z	ξa2(z	PROPN
ejpam-5796	133	36	)	)	PUNCT
ejpam-5796	134	1	ξa3(z	ξa3(z	PROPN
ejpam-5796	134	2	)	)	PUNCT
ejpam-5796	134	3	0.2	0.2	NUM
ejpam-5796	134	4	-1.209	-1.209	NUM
ejpam-5796	134	5	1.387	1.387	NUM
ejpam-5796	134	6	1.092	1.092	NUM
ejpam-5796	134	7	1.009	1.009	NUM
ejpam-5796	134	8	1.293	1.293	NUM
ejpam-5796	134	9	2.784	2.784	NUM
ejpam-5796	134	10	2.564	2.564	NUM
ejpam-5796	134	11	2.831	2.831	NUM
ejpam-5796	134	12	2.009	2.009	NUM
ejpam-5796	134	13	0.4	0.4	NUM
ejpam-5796	134	14	-1.109	-1.109	NUM
ejpam-5796	134	15	1.293	1.293	NUM
ejpam-5796	134	16	1.002	1.002	NUM
ejpam-5796	134	17	0.927	0.927	NUM
ejpam-5796	134	18	1.109	1.109	NUM
ejpam-5796	134	19	1.937	1.937	NUM
ejpam-5796	134	20	2.106	2.106	NUM
ejpam-5796	134	21	2.645	2.645	NUM
ejpam-5796	134	22	1.998	1.998	NUM
ejpam-5796	134	23	0.6	0.6	NUM
ejpam-5796	134	24	-1.100	-1.100	NUM
ejpam-5796	135	1	1.104	1.104	NUM
ejpam-5796	135	2	0.919	0.919	NUM
ejpam-5796	135	3	0.683	0.683	NUM
ejpam-5796	135	4	1.038	1.038	NUM
ejpam-5796	135	5	1.648	1.648	NUM
ejpam-5796	135	6	1.834	1.834	NUM
ejpam-5796	135	7	2.194	2.194	NUM
ejpam-5796	135	8	1.646	1.646	NUM
ejpam-5796	135	9	0.8	0.8	NUM
ejpam-5796	135	10	-0.937	-0.937	X
ejpam-5796	135	11	0.928	0.928	NUM
ejpam-5796	135	12	0.783	0.783	NUM
ejpam-5796	135	13	0.554	0.554	NUM
ejpam-5796	135	14	0.839	0.839	NUM
ejpam-5796	135	15	1.467	1.467	NUM
ejpam-5796	135	16	1.749	1.749	NUM
ejpam-5796	135	17	2.177	2.177	NUM
ejpam-5796	135	18	1.344	1.344	NUM
ejpam-5796	135	19	1.0	1.0	NUM
ejpam-5796	135	20	-0.910	-0.910	NUM
ejpam-5796	135	21	0.904	0.904	NUM
ejpam-5796	135	22	0.615	0.615	NUM
ejpam-5796	135	23	0.309	0.309	NUM
ejpam-5796	135	24	0.378	0.378	NUM
ejpam-5796	135	25	1.392	1.392	NUM
ejpam-5796	135	26	1.664	1.664	NUM
ejpam-5796	135	27	1.748	1.748	NUM
ejpam-5796	135	28	0.978	0.978	NUM
ejpam-5796	135	29	1.5	1.5	NUM
ejpam-5796	135	30	-0.745	-0.745	NOUN
ejpam-5796	135	31	0.778	0.778	NUM
ejpam-5796	135	32	0.567	0.567	NUM
ejpam-5796	135	33	0.298	0.298	NUM
ejpam-5796	135	34	0.239	0.239	NUM
ejpam-5796	135	35	0.923	0.923	NUM
ejpam-5796	135	36	1.548	1.548	NUM
ejpam-5796	135	37	1.478	1.478	NUM
ejpam-5796	135	38	0.347	0.347	NUM
ejpam-5796	135	39	2.0	2.0	NUM
ejpam-5796	135	40	-0.329	-0.329	PUNCT
ejpam-5796	135	41	0.276	0.276	NUM
ejpam-5796	135	42	0.275	0.275	NUM
ejpam-5796	135	43	0.222	0.222	NUM
ejpam-5796	135	44	0.196	0.196	NUM
ejpam-5796	135	45	0.451	0.451	NUM
ejpam-5796	135	46	1.063	1.063	NUM
ejpam-5796	135	47	1.390	1.390	NUM
ejpam-5796	135	48	0.227	0.227	NUM
ejpam-5796	135	49	shannon	shannon	PROPN
ejpam-5796	135	50	entropy	entropy	PROPN
ejpam-5796	135	51	of	of	ADP
ejpam-5796	135	52	eed	eed	PROPN
ejpam-5796	135	53	j.	j.	PROPN
ejpam-5796	135	54	g.	g.	PROPN
ejpam-5796	135	55	dar	dar	PROPN
ejpam-5796	135	56	,	,	PUNCT
ejpam-5796	135	57	i.	i.	PROPN
ejpam-5796	135	58	sajjad	sajjad	PROPN
ejpam-5796	135	59	,	,	PUNCT
ejpam-5796	135	60	s.	s.	PROPN
ejpam-5796	135	61	tamboli	tamboli	PROPN
ejpam-5796	135	62	/	/	SYM
ejpam-5796	135	63	eur	eur	PROPN
ejpam-5796	135	64	.	.	PUNCT
ejpam-5796	136	1	j.	j.	PROPN
ejpam-5796	136	2	pure	pure	PROPN
ejpam-5796	136	3	appl	appl	PROPN
ejpam-5796	136	4	.	.	PROPN
ejpam-5796	136	5	math	math	PROPN
ejpam-5796	136	6	,	,	PUNCT
ejpam-5796	136	7	18	18	NUM
ejpam-5796	136	8	(	(	PUNCT
ejpam-5796	136	9	2	2	NUM
ejpam-5796	136	10	)	)	PUNCT
ejpam-5796	136	11	(	(	PUNCT
ejpam-5796	136	12	2025	2025	NUM
ejpam-5796	136	13	)	)	PUNCT
ejpam-5796	136	14	,	,	PUNCT
ejpam-5796	136	15	5796	5796	NUM
ejpam-5796	136	16	9	9	NUM
ejpam-5796	136	17	of	of	ADP
ejpam-5796	136	18	17	17	NUM
ejpam-5796	136	19	shannon	shannon	PROPN
ejpam-5796	136	20	entropy	entropy	PROPN
ejpam-5796	136	21	of	of	ADP
ejpam-5796	136	22	teed	teed	PROPN
ejpam-5796	136	23	j.	j.	PROPN
ejpam-5796	136	24	g.	g.	PROPN
ejpam-5796	136	25	dar	dar	PROPN
ejpam-5796	136	26	,	,	PUNCT
ejpam-5796	136	27	i.	i.	PROPN
ejpam-5796	136	28	sajjad	sajjad	PROPN
ejpam-5796	136	29	,	,	PUNCT
ejpam-5796	136	30	s.	s.	PROPN
ejpam-5796	136	31	tamboli	tamboli	PROPN
ejpam-5796	136	32	/	/	SYM
ejpam-5796	136	33	eur	eur	PROPN
ejpam-5796	136	34	.	.	PUNCT
ejpam-5796	137	1	j.	j.	PROPN
ejpam-5796	137	2	pure	pure	PROPN
ejpam-5796	137	3	appl	appl	PROPN
ejpam-5796	137	4	.	.	PROPN
ejpam-5796	137	5	math	math	PROPN
ejpam-5796	137	6	,	,	PUNCT
ejpam-5796	137	7	18	18	NUM
ejpam-5796	137	8	(	(	PUNCT
ejpam-5796	137	9	2	2	NUM
ejpam-5796	137	10	)	)	PUNCT
ejpam-5796	137	11	(	(	PUNCT
ejpam-5796	137	12	2025	2025	NUM
ejpam-5796	137	13	)	)	PUNCT
ejpam-5796	137	14	,	,	PUNCT
ejpam-5796	137	15	5796	5796	NUM
ejpam-5796	137	16	10	10	NUM
ejpam-5796	137	17	of	of	ADP
ejpam-5796	137	18	17	17	NUM
ejpam-5796	137	19	figure	figure	NOUN
ejpam-5796	137	20	.	.	PUNCT
ejpam-5796	138	1	1	1	NUM
ejpam-5796	138	2	shannon	shannon	PROPN
ejpam-5796	138	3	entropy	entropy	PROPN
ejpam-5796	138	4	of	of	ADP
ejpam-5796	138	5	eed	eed	PROPN
ejpam-5796	138	6	and	and	CCONJ
ejpam-5796	138	7	teed	teed	VERB
ejpam-5796	138	8	j.	j.	PROPN
ejpam-5796	138	9	g.	g.	PROPN
ejpam-5796	138	10	dar	dar	PROPN
ejpam-5796	138	11	,	,	PUNCT
ejpam-5796	138	12	i.	i.	PROPN
ejpam-5796	138	13	sajjad	sajjad	PROPN
ejpam-5796	138	14	,	,	PUNCT
ejpam-5796	138	15	s.	s.	PROPN
ejpam-5796	138	16	tamboli	tamboli	PROPN
ejpam-5796	138	17	/	/	SYM
ejpam-5796	138	18	eur	eur	PROPN
ejpam-5796	138	19	.	.	PUNCT
ejpam-5796	139	1	j.	j.	PROPN
ejpam-5796	139	2	pure	pure	PROPN
ejpam-5796	139	3	appl	appl	PROPN
ejpam-5796	139	4	.	.	PROPN
ejpam-5796	139	5	math	math	PROPN
ejpam-5796	139	6	,	,	PUNCT
ejpam-5796	139	7	18	18	NUM
ejpam-5796	139	8	(	(	PUNCT
ejpam-5796	139	9	2	2	NUM
ejpam-5796	139	10	)	)	PUNCT
ejpam-5796	139	11	(	(	PUNCT
ejpam-5796	139	12	2025	2025	NUM
ejpam-5796	139	13	)	)	PUNCT
ejpam-5796	139	14	,	,	PUNCT
ejpam-5796	139	15	5796	5796	NUM
ejpam-5796	139	16	11	11	NUM
ejpam-5796	139	17	of	of	ADP
ejpam-5796	139	18	17	17	NUM
ejpam-5796	139	19	figure	figure	NOUN
ejpam-5796	139	20	.	.	PUNCT
ejpam-5796	140	1	2	2	NUM
ejpam-5796	140	2	renyi	renyi	PROPN
ejpam-5796	140	3	entropy	entropy	NOUN
ejpam-5796	140	4	of	of	ADP
ejpam-5796	140	5	eed	eed	PROPN
ejpam-5796	140	6	and	and	CCONJ
ejpam-5796	140	7	teed	teed	VERB
ejpam-5796	140	8	j.	j.	PROPN
ejpam-5796	140	9	g.	g.	PROPN
ejpam-5796	140	10	dar	dar	PROPN
ejpam-5796	140	11	,	,	PUNCT
ejpam-5796	140	12	i.	i.	PROPN
ejpam-5796	140	13	sajjad	sajjad	PROPN
ejpam-5796	140	14	,	,	PUNCT
ejpam-5796	140	15	s.	s.	PROPN
ejpam-5796	140	16	tamboli	tamboli	PROPN
ejpam-5796	140	17	/	/	SYM
ejpam-5796	140	18	eur	eur	PROPN
ejpam-5796	140	19	.	.	PUNCT
ejpam-5796	141	1	j.	j.	PROPN
ejpam-5796	141	2	pure	pure	PROPN
ejpam-5796	141	3	appl	appl	PROPN
ejpam-5796	141	4	.	.	PROPN
ejpam-5796	141	5	math	math	PROPN
ejpam-5796	141	6	,	,	PUNCT
ejpam-5796	141	7	18	18	NUM
ejpam-5796	141	8	(	(	PUNCT
ejpam-5796	141	9	2	2	NUM
ejpam-5796	141	10	)	)	PUNCT
ejpam-5796	141	11	(	(	PUNCT
ejpam-5796	141	12	2025	2025	NUM
ejpam-5796	141	13	)	)	PUNCT
ejpam-5796	141	14	,	,	PUNCT
ejpam-5796	141	15	5796	5796	NUM
ejpam-5796	141	16	12	12	NUM
ejpam-5796	141	17	of	of	ADP
ejpam-5796	141	18	17	17	NUM
ejpam-5796	141	19	j.	j.	PROPN
ejpam-5796	141	20	g.	g.	PROPN
ejpam-5796	141	21	dar	dar	PROPN
ejpam-5796	141	22	,	,	PUNCT
ejpam-5796	141	23	i.	i.	PROPN
ejpam-5796	141	24	sajjad	sajjad	PROPN
ejpam-5796	141	25	,	,	PUNCT
ejpam-5796	141	26	s.	s.	PROPN
ejpam-5796	141	27	tamboli	tamboli	PROPN
ejpam-5796	141	28	/	/	SYM
ejpam-5796	141	29	eur	eur	PROPN
ejpam-5796	141	30	.	.	PUNCT
ejpam-5796	142	1	j.	j.	PROPN
ejpam-5796	142	2	pure	pure	PROPN
ejpam-5796	142	3	appl	appl	PROPN
ejpam-5796	142	4	.	.	PROPN
ejpam-5796	142	5	math	math	PROPN
ejpam-5796	142	6	,	,	PUNCT
ejpam-5796	142	7	18	18	NUM
ejpam-5796	142	8	(	(	PUNCT
ejpam-5796	142	9	2	2	NUM
ejpam-5796	142	10	)	)	PUNCT
ejpam-5796	142	11	(	(	PUNCT
ejpam-5796	142	12	2025	2025	NUM
ejpam-5796	142	13	)	)	PUNCT
ejpam-5796	142	14	,	,	PUNCT
ejpam-5796	142	15	5796	5796	NUM
ejpam-5796	142	16	13	13	NUM
ejpam-5796	142	17	of	of	ADP
ejpam-5796	142	18	17	17	NUM
ejpam-5796	142	19	figure	figure	NOUN
ejpam-5796	142	20	.	.	PUNCT
ejpam-5796	143	1	3	3	NUM
ejpam-5796	143	2	tsalli	tsalli	NOUN
ejpam-5796	143	3	entropy	entropy	NOUN
ejpam-5796	143	4	of	of	ADP
ejpam-5796	143	5	eed	eed	PROPN
ejpam-5796	143	6	and	and	CCONJ
ejpam-5796	143	7	teed	teed	VERB
ejpam-5796	143	8	j.	j.	PROPN
ejpam-5796	143	9	g.	g.	PROPN
ejpam-5796	143	10	dar	dar	PROPN
ejpam-5796	143	11	,	,	PUNCT
ejpam-5796	143	12	i.	i.	PROPN
ejpam-5796	143	13	sajjad	sajjad	PROPN
ejpam-5796	143	14	,	,	PUNCT
ejpam-5796	143	15	s.	s.	PROPN
ejpam-5796	143	16	tamboli	tamboli	PROPN
ejpam-5796	143	17	/	/	SYM
ejpam-5796	143	18	eur	eur	PROPN
ejpam-5796	143	19	.	.	PUNCT
ejpam-5796	144	1	j.	j.	PROPN
ejpam-5796	144	2	pure	pure	PROPN
ejpam-5796	144	3	appl	appl	PROPN
ejpam-5796	144	4	.	.	PROPN
ejpam-5796	144	5	math	math	PROPN
ejpam-5796	144	6	,	,	PUNCT
ejpam-5796	144	7	18	18	NUM
ejpam-5796	144	8	(	(	PUNCT
ejpam-5796	144	9	2	2	NUM
ejpam-5796	144	10	)	)	PUNCT
ejpam-5796	144	11	(	(	PUNCT
ejpam-5796	144	12	2025	2025	NUM
ejpam-5796	144	13	)	)	PUNCT
ejpam-5796	144	14	,	,	PUNCT
ejpam-5796	144	15	5796	5796	NUM
ejpam-5796	144	16	14	14	NUM
ejpam-5796	144	17	of	of	ADP
ejpam-5796	144	18	17	17	NUM
ejpam-5796	144	19	figure	figure	NOUN
ejpam-5796	144	20	.	.	PUNCT
ejpam-5796	145	1	4	4	NUM
ejpam-5796	145	2	havrda	havrda	PROPN
ejpam-5796	145	3	and	and	CCONJ
ejpam-5796	145	4	charvat	charvat	ADJ
ejpam-5796	145	5	entropy	entropy	NOUN
ejpam-5796	145	6	of	of	ADP
ejpam-5796	145	7	eed	eed	PROPN
ejpam-5796	145	8	and	and	CCONJ
ejpam-5796	145	9	teed	teed	NOUN
ejpam-5796	145	10	figure	figure	NOUN
ejpam-5796	145	11	.	.	PUNCT
ejpam-5796	146	1	5	5	NUM
ejpam-5796	146	2	arimoto	arimoto	NOUN
ejpam-5796	146	3	’s	’s	PART
ejpam-5796	146	4	entropy	entropy	NOUN
ejpam-5796	146	5	of	of	ADP
ejpam-5796	146	6	eed	eed	PROPN
ejpam-5796	146	7	and	and	CCONJ
ejpam-5796	146	8	teed	teed	VERB
ejpam-5796	146	9	j.	j.	PROPN
ejpam-5796	146	10	g.	g.	PROPN
ejpam-5796	146	11	dar	dar	PROPN
ejpam-5796	146	12	,	,	PUNCT
ejpam-5796	146	13	i.	i.	PROPN
ejpam-5796	146	14	sajjad	sajjad	PROPN
ejpam-5796	146	15	,	,	PUNCT
ejpam-5796	146	16	s.	s.	PROPN
ejpam-5796	146	17	tamboli	tamboli	PROPN
ejpam-5796	146	18	/	/	SYM
ejpam-5796	146	19	eur	eur	PROPN
ejpam-5796	146	20	.	.	PUNCT
ejpam-5796	147	1	j.	j.	PROPN
ejpam-5796	147	2	pure	pure	PROPN
ejpam-5796	147	3	appl	appl	PROPN
ejpam-5796	147	4	.	.	PROPN
ejpam-5796	147	5	math	math	PROPN
ejpam-5796	147	6	,	,	PUNCT
ejpam-5796	147	7	18	18	NUM
ejpam-5796	147	8	(	(	PUNCT
ejpam-5796	147	9	2	2	NUM
ejpam-5796	147	10	)	)	PUNCT
ejpam-5796	147	11	(	(	PUNCT
ejpam-5796	147	12	2025	2025	NUM
ejpam-5796	147	13	)	)	PUNCT
ejpam-5796	147	14	,	,	PUNCT
ejpam-5796	147	15	5796	5796	NUM
ejpam-5796	147	16	15	15	NUM
ejpam-5796	147	17	of	of	ADP
ejpam-5796	147	18	17	17	NUM
ejpam-5796	147	19	figure	figure	NOUN
ejpam-5796	147	20	.	.	PUNCT
ejpam-5796	148	1	6	6	NUM
ejpam-5796	148	2	sharma	sharma	NOUN
ejpam-5796	148	3	and	and	CCONJ
ejpam-5796	148	4	mittal	mittal	PROPN
ejpam-5796	148	5	’s	’s	PART
ejpam-5796	148	6	entropy	entropy	NOUN
ejpam-5796	148	7	of	of	ADP
ejpam-5796	148	8	eed	eed	PROPN
ejpam-5796	148	9	and	and	CCONJ
ejpam-5796	148	10	teed	teed	NOUN
ejpam-5796	148	11	figure	figure	NOUN
ejpam-5796	148	12	.	.	PUNCT
ejpam-5796	149	1	7	7	NUM
ejpam-5796	149	2	awad	awad	PROPN
ejpam-5796	149	3	’s	’s	PART
ejpam-5796	149	4	et	et	PROPN
ejpam-5796	149	5	al	al	PROPN
ejpam-5796	149	6	.	.	PROPN
ejpam-5796	149	7	entropy	entropy	PROPN
ejpam-5796	149	8	of	of	ADP
ejpam-5796	149	9	eed	eed	PROPN
ejpam-5796	149	10	and	and	CCONJ
ejpam-5796	149	11	teed	teed	VERB
ejpam-5796	149	12	j.	j.	PROPN
ejpam-5796	149	13	g.	g.	PROPN
ejpam-5796	149	14	dar	dar	PROPN
ejpam-5796	149	15	,	,	PUNCT
ejpam-5796	149	16	i.	i.	PROPN
ejpam-5796	149	17	sajjad	sajjad	PROPN
ejpam-5796	149	18	,	,	PUNCT
ejpam-5796	149	19	s.	s.	PROPN
ejpam-5796	149	20	tamboli	tamboli	PROPN
ejpam-5796	149	21	/	/	SYM
ejpam-5796	149	22	eur	eur	PROPN
ejpam-5796	149	23	.	.	PUNCT
ejpam-5796	150	1	j.	j.	PROPN
ejpam-5796	150	2	pure	pure	PROPN
ejpam-5796	150	3	appl	appl	PROPN
ejpam-5796	150	4	.	.	PROPN
ejpam-5796	150	5	math	math	PROPN
ejpam-5796	150	6	,	,	PUNCT
ejpam-5796	150	7	18	18	NUM
ejpam-5796	150	8	(	(	PUNCT
ejpam-5796	150	9	2	2	NUM
ejpam-5796	150	10	)	)	PUNCT
ejpam-5796	150	11	(	(	PUNCT
ejpam-5796	150	12	2025	2025	NUM
ejpam-5796	150	13	)	)	PUNCT
ejpam-5796	150	14	,	,	PUNCT
ejpam-5796	150	15	5796	5796	NUM
ejpam-5796	150	16	16	16	NUM
ejpam-5796	150	17	of	of	ADP
ejpam-5796	150	18	17	17	NUM
ejpam-5796	150	19	figure	figure	NOUN
ejpam-5796	150	20	.	.	PUNCT
ejpam-5796	151	1	8	8	NUM
ejpam-5796	151	2	awad	awad	PROPN
ejpam-5796	151	3	’s	’s	PART
ejpam-5796	151	4	entropy	entropy	PROPN
ejpam-5796	151	5	of	of	ADP
ejpam-5796	151	6	eed	eed	PROPN
ejpam-5796	151	7	and	and	CCONJ
ejpam-5796	151	8	teed	teed	ADJ
ejpam-5796	151	9	figure	figure	NOUN
ejpam-5796	151	10	.	.	PUNCT
ejpam-5796	152	1	9	9	NUM
ejpam-5796	152	2	awad	awad	PROPN
ejpam-5796	152	3	’s	’s	PART
ejpam-5796	152	4	entropy	entropy	PROPN
ejpam-5796	152	5	of	of	ADP
ejpam-5796	152	6	eed	eed	PROPN
ejpam-5796	152	7	and	and	CCONJ
ejpam-5796	152	8	teed	tee	VERB
ejpam-5796	152	9	5	5	NUM
ejpam-5796	152	10	.	.	PUNCT
ejpam-5796	152	11	conclusion	conclusion	NOUN
ejpam-5796	152	12	this	this	DET
ejpam-5796	152	13	research	research	NOUN
ejpam-5796	152	14	examines	examine	VERB
ejpam-5796	152	15	most	most	ADJ
ejpam-5796	152	16	entropy	entropy	NOUN
ejpam-5796	152	17	measures	measure	NOUN
ejpam-5796	152	18	for	for	ADP
ejpam-5796	152	19	ee	ee	NOUN
ejpam-5796	152	20	and	and	CCONJ
ejpam-5796	152	21	tee	tee	NOUN
ejpam-5796	152	22	models	model	NOUN
ejpam-5796	152	23	to	to	PART
ejpam-5796	152	24	show	show	VERB
ejpam-5796	152	25	how	how	SCONJ
ejpam-5796	152	26	well	well	ADV
ejpam-5796	152	27	they	they	PRON
ejpam-5796	152	28	represent	represent	VERB
ejpam-5796	152	29	distribution	distribution	NOUN
ejpam-5796	152	30	uncertainty	uncertainty	NOUN
ejpam-5796	152	31	.	.	PUNCT
ejpam-5796	153	1	our	our	PRON
ejpam-5796	153	2	analysis	analysis	NOUN
ejpam-5796	153	3	uses	use	VERB
ejpam-5796	153	4	shannon	shannon	PROPN
ejpam-5796	153	5	entropy	entropy	PROPN
ejpam-5796	153	6	plus	plus	CCONJ
ejpam-5796	153	7	rényi	rényi	PROPN
ejpam-5796	153	8	entropy	entropy	NOUN
ejpam-5796	153	9	and	and	CCONJ
ejpam-5796	153	10	similar	similar	ADJ
ejpam-5796	153	11	tools	tool	NOUN
ejpam-5796	153	12	to	to	PART
ejpam-5796	153	13	inspect	inspect	VERB
ejpam-5796	153	14	model	model	NOUN
ejpam-5796	153	15	parameter	parameter	NOUN
ejpam-5796	153	16	changes	change	NOUN
ejpam-5796	153	17	versus	versus	ADP
ejpam-5796	153	18	entropy	entropy	NOUN
ejpam-5796	153	19	results	result	NOUN
ejpam-5796	153	20	.	.	PUNCT
ejpam-5796	154	1	our	our	PRON
ejpam-5796	154	2	tests	test	NOUN
ejpam-5796	154	3	show	show	VERB
ejpam-5796	154	4	entropy	entropy	NOUN
ejpam-5796	154	5	measures	measure	NOUN
ejpam-5796	154	6	behave	behave	VERB
ejpam-5796	154	7	correctly	correctly	ADV
ejpam-5796	154	8	to	to	PART
ejpam-5796	154	9	detect	detect	VERB
ejpam-5796	154	10	how	how	SCONJ
ejpam-5796	154	11	these	these	DET
ejpam-5796	154	12	step	step	NOUN
ejpam-5796	154	13	-	-	PUNCT
ejpam-5796	154	14	like	like	ADJ
ejpam-5796	154	15	distributions	distribution	NOUN
ejpam-5796	154	16	work	work	VERB
ejpam-5796	154	17	and	and	CCONJ
ejpam-5796	154	18	how	how	SCONJ
ejpam-5796	154	19	they	they	PRON
ejpam-5796	154	20	handle	handle	VERB
ejpam-5796	154	21	specific	specific	ADJ
ejpam-5796	154	22	data	datum	NOUN
ejpam-5796	154	23	patterns	pattern	NOUN
ejpam-5796	154	24	.	.	PUNCT
ejpam-5796	155	1	as	as	SCONJ
ejpam-5796	155	2	the	the	DET
ejpam-5796	155	3	parameter	parameter	NOUN
ejpam-5796	155	4	values	value	NOUN
ejpam-5796	155	5	grow	grow	VERB
ejpam-5796	155	6	the	the	DET
ejpam-5796	155	7	model	model	NOUN
ejpam-5796	155	8	produces	produce	VERB
ejpam-5796	155	9	more	more	ADV
ejpam-5796	155	10	uncertain	uncertain	ADJ
ejpam-5796	155	11	results	result	NOUN
ejpam-5796	155	12	.	.	PUNCT
ejpam-5796	156	1	because	because	SCONJ
ejpam-5796	156	2	its	its	PRON
ejpam-5796	156	3	range	range	NOUN
ejpam-5796	156	4	is	be	AUX
ejpam-5796	156	5	limited	limit	VERB
ejpam-5796	156	6	the	the	DET
ejpam-5796	156	7	truncated	truncate	VERB
ejpam-5796	156	8	distribution	distribution	NOUN
ejpam-5796	156	9	shows	show	VERB
ejpam-5796	156	10	distinct	distinct	ADJ
ejpam-5796	156	11	entropy	entropy	PROPN
ejpam-5796	156	12	behavior	behavior	NOUN
ejpam-5796	156	13	which	which	PRON
ejpam-5796	156	14	expands	expand	VERB
ejpam-5796	156	15	our	our	PRON
ejpam-5796	156	16	abilities	ability	NOUN
ejpam-5796	156	17	to	to	PART
ejpam-5796	156	18	represent	represent	VERB
ejpam-5796	156	19	real	real	ADJ
ejpam-5796	156	20	-	-	PUNCT
ejpam-5796	156	21	world	world	NOUN
ejpam-5796	156	22	measurements	measurement	NOUN
ejpam-5796	156	23	with	with	ADP
ejpam-5796	156	24	specified	specify	VERB
ejpam-5796	156	25	upper	upper	ADJ
ejpam-5796	156	26	and	and	CCONJ
ejpam-5796	156	27	lower	low	ADJ
ejpam-5796	156	28	boundaries	boundary	NOUN
ejpam-5796	156	29	.	.	PUNCT
ejpam-5796	157	1	these	these	DET
ejpam-5796	157	2	results	result	NOUN
ejpam-5796	157	3	benefit	benefit	VERB
ejpam-5796	157	4	fields	field	NOUN
ejpam-5796	157	5	that	that	PRON
ejpam-5796	157	6	require	require	VERB
ejpam-5796	157	7	accurate	accurate	ADJ
ejpam-5796	157	8	modeling	modeling	NOUN
ejpam-5796	157	9	of	of	ADP
ejpam-5796	157	10	uncertain	uncertain	ADJ
ejpam-5796	157	11	data	datum	NOUN
ejpam-5796	157	12	since	since	SCONJ
ejpam-5796	157	13	reliability	reliability	NOUN
ejpam-5796	157	14	studies	study	NOUN
ejpam-5796	157	15	and	and	CCONJ
ejpam-5796	157	16	information	information	NOUN
ejpam-5796	157	17	theory	theory	NOUN
ejpam-5796	157	18	rely	rely	VERB
ejpam-5796	157	19	on	on	ADP
ejpam-5796	157	20	precise	precise	ADJ
ejpam-5796	157	21	knowledge	knowledge	NOUN
ejpam-5796	157	22	of	of	ADP
ejpam-5796	157	23	data	datum	NOUN
ejpam-5796	157	24	uncertainty	uncertainty	NOUN
ejpam-5796	157	25	.	.	PUNCT
ejpam-5796	158	1	our	our	PRON
ejpam-5796	158	2	research	research	NOUN
ejpam-5796	158	3	adds	add	VERB
ejpam-5796	158	4	essential	essential	ADJ
ejpam-5796	158	5	knowledge	knowledge	NOUN
ejpam-5796	158	6	j.	j.	PROPN
ejpam-5796	158	7	g.	g.	PROPN
ejpam-5796	158	8	dar	dar	PROPN
ejpam-5796	158	9	,	,	PUNCT
ejpam-5796	158	10	i.	i.	PROPN
ejpam-5796	158	11	sajjad	sajjad	PROPN
ejpam-5796	158	12	,	,	PUNCT
ejpam-5796	158	13	s.	s.	PROPN
ejpam-5796	158	14	tamboli	tamboli	PROPN
ejpam-5796	158	15	/	/	SYM
ejpam-5796	158	16	eur	eur	PROPN
ejpam-5796	158	17	.	.	PUNCT
ejpam-5796	159	1	j.	j.	PROPN
ejpam-5796	159	2	pure	pure	PROPN
ejpam-5796	159	3	appl	appl	PROPN
ejpam-5796	159	4	.	.	PROPN
ejpam-5796	159	5	math	math	PROPN
ejpam-5796	159	6	,	,	PUNCT
ejpam-5796	159	7	18	18	NUM
ejpam-5796	159	8	(	(	PUNCT
ejpam-5796	159	9	2	2	NUM
ejpam-5796	159	10	)	)	PUNCT
ejpam-5796	159	11	(	(	PUNCT
ejpam-5796	159	12	2025	2025	NUM
ejpam-5796	159	13	)	)	PUNCT
ejpam-5796	159	14	,	,	PUNCT
ejpam-5796	159	15	5796	5796	NUM
ejpam-5796	159	16	17	17	NUM
ejpam-5796	159	17	of	of	ADP
ejpam-5796	159	18	17	17	NUM
ejpam-5796	159	19	about	about	ADP
ejpam-5796	159	20	entropy	entropy	NOUN
ejpam-5796	159	21	measurements	measurement	NOUN
ejpam-5796	159	22	for	for	ADP
ejpam-5796	159	23	popular	popular	ADJ
ejpam-5796	159	24	statistical	statistical	ADJ
ejpam-5796	159	25	distributions	distribution	NOUN
ejpam-5796	159	26	and	and	CCONJ
ejpam-5796	159	27	creates	create	VERB
ejpam-5796	159	28	new	new	ADJ
ejpam-5796	159	29	directions	direction	NOUN
ejpam-5796	159	30	for	for	ADP
ejpam-5796	159	31	engineering	engineering	NOUN
ejpam-5796	159	32	biology	biology	NOUN
ejpam-5796	159	33	machine	machine	NOUN
ejpam-5796	159	34	learning	learning	NOUN
ejpam-5796	159	35	and	and	CCONJ
ejpam-5796	159	36	other	other	ADJ
ejpam-5796	159	37	related	related	ADJ
ejpam-5796	159	38	studies	study	NOUN
ejpam-5796	159	39	.	.	PUNCT
ejpam-5796	160	1	conflict	conflict	NOUN
ejpam-5796	160	2	of	of	ADP
ejpam-5796	160	3	interest	interest	NOUN
ejpam-5796	160	4	:	:	PUNCT
ejpam-5796	160	5	the	the	DET
ejpam-5796	160	6	authors	author	NOUN
ejpam-5796	160	7	declare	declare	VERB
ejpam-5796	160	8	that	that	SCONJ
ejpam-5796	160	9	they	they	PRON
ejpam-5796	160	10	have	have	VERB
ejpam-5796	160	11	no	no	DET
ejpam-5796	160	12	conflict	conflict	NOUN
ejpam-5796	160	13	of	of	ADP
ejpam-5796	160	14	interest	interest	NOUN
ejpam-5796	160	15	references	reference	NOUN
ejpam-5796	160	16	[	[	X
ejpam-5796	160	17	1	1	NUM
ejpam-5796	160	18	]	]	PUNCT
ejpam-5796	160	19	claude	claude	PROPN
ejpam-5796	160	20	e	e	PROPN
ejpam-5796	160	21	shannon	shannon	PROPN
ejpam-5796	160	22	.	.	PUNCT
ejpam-5796	161	1	a	a	DET
ejpam-5796	161	2	mathematical	mathematical	ADJ
ejpam-5796	161	3	theory	theory	NOUN
ejpam-5796	161	4	of	of	ADP
ejpam-5796	161	5	communication	communication	NOUN
ejpam-5796	161	6	.	.	PUNCT
ejpam-5796	162	1	the	the	DET
ejpam-5796	162	2	bell	bell	PROPN
ejpam-5796	162	3	system	system	PROPN
ejpam-5796	162	4	technical	technical	ADJ
ejpam-5796	162	5	journal	journal	NOUN
ejpam-5796	162	6	,	,	PUNCT
ejpam-5796	162	7	27(3):379–423	27(3):379–423	PROPN
ejpam-5796	162	8	,	,	PUNCT
ejpam-5796	162	9	1948	1948	NUM
ejpam-5796	162	10	.	.	PUNCT
ejpam-5796	163	1	[	[	X
ejpam-5796	163	2	2	2	NUM
ejpam-5796	163	3	]	]	X
ejpam-5796	163	4	alfonso	alfonso	PROPN
ejpam-5796	163	5	delgado	delgado	PROPN
ejpam-5796	163	6	-	-	PUNCT
ejpam-5796	163	7	bonal	bonal	ADJ
ejpam-5796	163	8	and	and	CCONJ
ejpam-5796	163	9	javier	javier	PROPN
ejpam-5796	163	10	martín	martín	NOUN
ejpam-5796	163	11	-	-	PUNCT
ejpam-5796	163	12	torres	torre	NOUN
ejpam-5796	163	13	.	.	PUNCT
ejpam-5796	164	1	human	human	ADJ
ejpam-5796	164	2	vision	vision	NOUN
ejpam-5796	164	3	is	be	AUX
ejpam-5796	164	4	determined	determine	VERB
ejpam-5796	164	5	based	base	VERB
ejpam-5796	164	6	on	on	ADP
ejpam-5796	164	7	information	information	NOUN
ejpam-5796	164	8	theory	theory	NOUN
ejpam-5796	164	9	.	.	PUNCT
ejpam-5796	165	1	scientific	scientific	ADJ
ejpam-5796	165	2	reports	report	NOUN
ejpam-5796	165	3	,	,	PUNCT
ejpam-5796	165	4	6(1):36038	6(1):36038	PROPN
ejpam-5796	165	5	,	,	PUNCT
ejpam-5796	165	6	2016	2016	NUM
ejpam-5796	165	7	.	.	PUNCT
ejpam-5796	166	1	[	[	X
ejpam-5796	166	2	3	3	X
ejpam-5796	166	3	]	]	X
ejpam-5796	166	4	anthony	anthony	PROPN
ejpam-5796	166	5	zador	zador	PROPN
ejpam-5796	166	6	.	.	PUNCT
ejpam-5796	167	1	spikes	spike	NOUN
ejpam-5796	167	2	:	:	PUNCT
ejpam-5796	167	3	exploring	explore	VERB
ejpam-5796	167	4	the	the	DET
ejpam-5796	167	5	neural	neural	ADJ
ejpam-5796	167	6	code	code	NOUN
ejpam-5796	167	7	.	.	PUNCT
ejpam-5796	168	1	science	science	NOUN
ejpam-5796	168	2	,	,	PUNCT
ejpam-5796	168	3	277(5327):772–773	277(5327):772–773	NUM
ejpam-5796	168	4	,	,	PUNCT
ejpam-5796	168	5	1997	1997	NUM
ejpam-5796	168	6	.	.	PUNCT
ejpam-5796	169	1	[	[	X
ejpam-5796	169	2	4	4	X
ejpam-5796	169	3	]	]	PUNCT
ejpam-5796	169	4	vaishali	vaishali	PROPN
ejpam-5796	169	5	manish	manish	PROPN
ejpam-5796	169	6	joshi	joshi	PROPN
ejpam-5796	169	7	and	and	CCONJ
ejpam-5796	169	8	javid	javid	PROPN
ejpam-5796	169	9	dar	dar	PROPN
ejpam-5796	169	10	.	.	PUNCT
ejpam-5796	170	1	some	some	DET
ejpam-5796	170	2	results	result	NOUN
ejpam-5796	170	3	on	on	ADP
ejpam-5796	170	4	mathai	mathai	PROPN
ejpam-5796	170	5	-	-	PUNCT
ejpam-5796	170	6	haubold	haubold	ADJ
ejpam-5796	170	7	fuzzy	fuzzy	ADJ
ejpam-5796	170	8	entropy	entropy	NOUN
ejpam-5796	170	9	.	.	PUNCT
ejpam-5796	171	1	european	european	PROPN
ejpam-5796	171	2	journal	journal	PROPN
ejpam-5796	171	3	of	of	ADP
ejpam-5796	171	4	pure	pure	ADJ
ejpam-5796	171	5	and	and	CCONJ
ejpam-5796	171	6	applied	applied	ADJ
ejpam-5796	171	7	mathematics	mathematic	NOUN
ejpam-5796	171	8	,	,	PUNCT
ejpam-5796	171	9	17(3):2349–2360	17(3):2349–2360	NUM
ejpam-5796	171	10	,	,	PUNCT
ejpam-5796	171	11	2024	2024	NUM
ejpam-5796	171	12	.	.	PUNCT
ejpam-5796	172	1	[	[	X
ejpam-5796	172	2	5	5	NUM
ejpam-5796	172	3	]	]	X
ejpam-5796	172	4	teresa	teresa	NOUN
ejpam-5796	172	5	henriques	henrique	NOUN
ejpam-5796	172	6	,	,	PUNCT
ejpam-5796	172	7	hernâni	hernâni	PROPN
ejpam-5796	172	8	gonçalves	gonçalves	PROPN
ejpam-5796	172	9	,	,	PUNCT
ejpam-5796	172	10	luís	luís	PROPN
ejpam-5796	172	11	antunes	antunes	PROPN
ejpam-5796	172	12	,	,	PUNCT
ejpam-5796	172	13	mara	mara	PROPN
ejpam-5796	172	14	matias	matias	PROPN
ejpam-5796	172	15	,	,	PUNCT
ejpam-5796	172	16	joão	joão	PROPN
ejpam-5796	172	17	bernardes	bernardes	PROPN
ejpam-5796	172	18	,	,	PUNCT
ejpam-5796	172	19	and	and	CCONJ
ejpam-5796	172	20	cristina	cristina	PROPN
ejpam-5796	172	21	costa	costa	PROPN
ejpam-5796	172	22	-	-	PUNCT
ejpam-5796	172	23	santos	santos	PROPN
ejpam-5796	172	24	.	.	PUNCT
ejpam-5796	173	1	entropy	entropy	PROPN
ejpam-5796	173	2	and	and	CCONJ
ejpam-5796	173	3	compression	compression	NOUN
ejpam-5796	173	4	:	:	PUNCT
ejpam-5796	173	5	two	two	NUM
ejpam-5796	173	6	measures	measure	NOUN
ejpam-5796	173	7	of	of	ADP
ejpam-5796	173	8	complexity	complexity	NOUN
ejpam-5796	173	9	.	.	PUNCT
ejpam-5796	174	1	journal	journal	NOUN
ejpam-5796	174	2	of	of	ADP
ejpam-5796	174	3	evaluation	evaluation	NOUN
ejpam-5796	174	4	in	in	ADP
ejpam-5796	174	5	clinical	clinical	ADJ
ejpam-5796	174	6	practice	practice	NOUN
ejpam-5796	174	7	,	,	PUNCT
ejpam-5796	174	8	19(6):1101–1106	19(6):1101–1106	NUM
ejpam-5796	174	9	,	,	PUNCT
ejpam-5796	174	10	2013	2013	NUM
ejpam-5796	174	11	.	.	PUNCT
ejpam-5796	175	1	[	[	X
ejpam-5796	175	2	6	6	NUM
ejpam-5796	175	3	]	]	PUNCT
ejpam-5796	175	4	abdul	abdul	PROPN
ejpam-5796	175	5	basit	basit	PROPN
ejpam-5796	175	6	,	,	PUNCT
ejpam-5796	175	7	anam	anam	PROPN
ejpam-5796	175	8	riaz	riaz	PROPN
ejpam-5796	175	9	,	,	PUNCT
ejpam-5796	175	10	zafar	zafar	PROPN
ejpam-5796	175	11	iqbal	iqbal	PROPN
ejpam-5796	175	12	,	,	PUNCT
ejpam-5796	175	13	and	and	CCONJ
ejpam-5796	175	14	munir	munir	PROPN
ejpam-5796	175	15	ahmad	ahmad	PROPN
ejpam-5796	175	16	.	.	PUNCT
ejpam-5796	176	1	on	on	ADP
ejpam-5796	176	2	comparison	comparison	NOUN
ejpam-5796	176	3	of	of	ADP
ejpam-5796	176	4	entropy	entropy	NOUN
ejpam-5796	176	5	measures	measure	NOUN
ejpam-5796	176	6	for	for	ADP
ejpam-5796	176	7	weighted	weight	VERB
ejpam-5796	176	8	and	and	CCONJ
ejpam-5796	176	9	truncated	truncate	VERB
ejpam-5796	176	10	weighted	weight	VERB
ejpam-5796	176	11	exponential	exponential	ADJ
ejpam-5796	176	12	distributions	distribution	NOUN
ejpam-5796	176	13	.	.	PUNCT
ejpam-5796	177	1	advances	advance	NOUN
ejpam-5796	177	2	and	and	CCONJ
ejpam-5796	177	3	applications	application	NOUN
ejpam-5796	177	4	in	in	ADP
ejpam-5796	177	5	statistics	statistic	NOUN
ejpam-5796	177	6	,	,	PUNCT
ejpam-5796	177	7	50(6):477–495	50(6):477–495	PROPN
ejpam-5796	177	8	,	,	PUNCT
ejpam-5796	177	9	2017	2017	NUM
ejpam-5796	177	10	.	.	PUNCT
ejpam-5796	178	1	[	[	X
ejpam-5796	178	2	7	7	X
ejpam-5796	178	3	]	]	PUNCT
ejpam-5796	178	4	jan	jan	PROPN
ejpam-5796	178	5	havrda	havrda	PROPN
ejpam-5796	178	6	and	and	CCONJ
ejpam-5796	178	7	františek	františek	NOUN
ejpam-5796	178	8	charvát	charvát	VERB
ejpam-5796	178	9	.	.	PUNCT
ejpam-5796	179	1	quantification	quantification	NOUN
ejpam-5796	179	2	method	method	NOUN
ejpam-5796	179	3	of	of	ADP
ejpam-5796	179	4	classification	classification	NOUN
ejpam-5796	179	5	processes	process	NOUN
ejpam-5796	179	6	.	.	PUNCT
ejpam-5796	180	1	concept	concept	NOUN
ejpam-5796	180	2	of	of	ADP
ejpam-5796	180	3	structural	structural	ADJ
ejpam-5796	180	4	a	a	DET
ejpam-5796	180	5	-	-	PUNCT
ejpam-5796	180	6	entropy	entropy	NOUN
ejpam-5796	180	7	.	.	PUNCT
ejpam-5796	180	8	kybernetika	kybernetika	PROPN
ejpam-5796	180	9	,	,	PUNCT
ejpam-5796	180	10	3(1):30–35	3(1):30–35	NUM
ejpam-5796	180	11	,	,	PUNCT
ejpam-5796	180	12	1967	1967	NUM
ejpam-5796	180	13	.	.	PUNCT
ejpam-5796	181	1	[	[	X
ejpam-5796	181	2	8	8	NUM
ejpam-5796	181	3	]	]	PUNCT
ejpam-5796	181	4	alfréd	alfréd	ADJ
ejpam-5796	181	5	rényi	rényi	NOUN
ejpam-5796	181	6	.	.	PUNCT
ejpam-5796	182	1	on	on	ADP
ejpam-5796	182	2	measures	measure	NOUN
ejpam-5796	182	3	of	of	ADP
ejpam-5796	182	4	entropy	entropy	NOUN
ejpam-5796	182	5	and	and	CCONJ
ejpam-5796	182	6	information	information	NOUN
ejpam-5796	182	7	.	.	PUNCT
ejpam-5796	183	1	in	in	ADP
ejpam-5796	183	2	proceedings	proceeding	NOUN
ejpam-5796	183	3	of	of	ADP
ejpam-5796	183	4	the	the	DET
ejpam-5796	183	5	fourth	fourth	PROPN
ejpam-5796	183	6	berkeley	berkeley	PROPN
ejpam-5796	183	7	symposium	symposium	NOUN
ejpam-5796	183	8	on	on	ADP
ejpam-5796	183	9	mathematical	mathematical	ADJ
ejpam-5796	183	10	statistics	statistic	NOUN
ejpam-5796	183	11	and	and	CCONJ
ejpam-5796	183	12	probability	probability	NOUN
ejpam-5796	183	13	,	,	PUNCT
ejpam-5796	183	14	volume	volume	NOUN
ejpam-5796	183	15	1	1	NUM
ejpam-5796	183	16	:	:	PUNCT
ejpam-5796	183	17	contributions	contribution	NOUN
ejpam-5796	183	18	to	to	ADP
ejpam-5796	183	19	the	the	DET
ejpam-5796	183	20	theory	theory	NOUN
ejpam-5796	183	21	of	of	ADP
ejpam-5796	183	22	statistics	statistic	NOUN
ejpam-5796	183	23	,	,	PUNCT
ejpam-5796	183	24	volume	volume	NOUN
ejpam-5796	183	25	4	4	NUM
ejpam-5796	183	26	,	,	PUNCT
ejpam-5796	183	27	pages	page	NOUN
ejpam-5796	183	28	547–562	547–562	NUM
ejpam-5796	183	29	.	.	PUNCT
ejpam-5796	184	1	university	university	NOUN
ejpam-5796	184	2	of	of	ADP
ejpam-5796	184	3	california	california	PROPN
ejpam-5796	184	4	press	press	PROPN
ejpam-5796	184	5	,	,	PUNCT
ejpam-5796	184	6	1961	1961	NUM
ejpam-5796	184	7	.	.	PUNCT
ejpam-5796	185	1	[	[	X
ejpam-5796	185	2	9	9	NUM
ejpam-5796	185	3	]	]	X
ejpam-5796	185	4	suguru	suguru	NOUN
ejpam-5796	185	5	arimoto	arimoto	NOUN
ejpam-5796	185	6	.	.	PUNCT
ejpam-5796	186	1	information	information	NOUN
ejpam-5796	186	2	-	-	PUNCT
ejpam-5796	186	3	theoretical	theoretical	ADJ
ejpam-5796	186	4	considerations	consideration	NOUN
ejpam-5796	186	5	on	on	ADP
ejpam-5796	186	6	estimation	estimation	NOUN
ejpam-5796	186	7	problems	problem	NOUN
ejpam-5796	186	8	.	.	PUNCT
ejpam-5796	187	1	information	information	NOUN
ejpam-5796	187	2	and	and	CCONJ
ejpam-5796	187	3	control	control	NOUN
ejpam-5796	187	4	,	,	PUNCT
ejpam-5796	187	5	19(3):181–194	19(3):181–194	NUM
ejpam-5796	187	6	,	,	PUNCT
ejpam-5796	187	7	1971	1971	NUM
ejpam-5796	187	8	.	.	PUNCT
ejpam-5796	188	1	[	[	X
ejpam-5796	188	2	10	10	NUM
ejpam-5796	188	3	]	]	PUNCT
ejpam-5796	188	4	bd	bd	PROPN
ejpam-5796	188	5	sharma	sharma	PROPN
ejpam-5796	188	6	and	and	CCONJ
ejpam-5796	188	7	dp	dp	PROPN
ejpam-5796	188	8	mittal	mittal	NOUN
ejpam-5796	188	9	.	.	PUNCT
ejpam-5796	189	1	new	new	ADJ
ejpam-5796	189	2	non	non	ADJ
ejpam-5796	189	3	-	-	ADJ
ejpam-5796	189	4	additive	additive	ADJ
ejpam-5796	189	5	measures	measure	NOUN
ejpam-5796	189	6	of	of	ADP
ejpam-5796	189	7	relative	relative	ADJ
ejpam-5796	189	8	information	information	NOUN
ejpam-5796	189	9	.	.	PUNCT
ejpam-5796	190	1	journal	journal	PROPN
ejpam-5796	190	2	of	of	ADP
ejpam-5796	190	3	combinatorics	combinatorics	PROPN
ejpam-5796	190	4	information	information	PROPN
ejpam-5796	190	5	&	&	CCONJ
ejpam-5796	190	6	system	system	NOUN
ejpam-5796	190	7	sciences	sciences	PROPN
ejpam-5796	190	8	,	,	PUNCT
ejpam-5796	190	9	2(4):122–132	2(4):122–132	NUM
ejpam-5796	190	10	,	,	PUNCT
ejpam-5796	190	11	1977	1977	NUM
ejpam-5796	190	12	.	.	PUNCT
ejpam-5796	191	1	[	[	X
ejpam-5796	191	2	11	11	NUM
ejpam-5796	191	3	]	]	X
ejpam-5796	191	4	adnan	adnan	PROPN
ejpam-5796	191	5	m	m	PROPN
ejpam-5796	191	6	awad	awad	PROPN
ejpam-5796	191	7	and	and	CCONJ
ejpam-5796	191	8	ameen	ameen	PROPN
ejpam-5796	191	9	j	j	PROPN
ejpam-5796	191	10	alawneh	alawneh	PROPN
ejpam-5796	191	11	.	.	PUNCT
ejpam-5796	192	1	application	application	NOUN
ejpam-5796	192	2	of	of	ADP
ejpam-5796	192	3	entropy	entropy	NOUN
ejpam-5796	192	4	to	to	ADP
ejpam-5796	192	5	a	a	DET
ejpam-5796	192	6	life	life	NOUN
ejpam-5796	192	7	-	-	PUNCT
ejpam-5796	192	8	time	time	NOUN
ejpam-5796	192	9	model	model	NOUN
ejpam-5796	192	10	.	.	PUNCT
ejpam-5796	193	1	i	i	PRON
ejpam-5796	193	2	m	m	VERB
ejpam-5796	193	3	a	a	DET
ejpam-5796	193	4	journal	journal	NOUN
ejpam-5796	193	5	of	of	ADP
ejpam-5796	193	6	mathematical	mathematical	ADJ
ejpam-5796	193	7	control	control	NOUN
ejpam-5796	193	8	and	and	CCONJ
ejpam-5796	193	9	information	information	NOUN
ejpam-5796	193	10	,	,	PUNCT
ejpam-5796	193	11	4(2):143–148	4(2):143–148	NUM
ejpam-5796	193	12	,	,	PUNCT
ejpam-5796	193	13	1987	1987	NUM
ejpam-5796	193	14	.	.	PUNCT
ejpam-5796	194	1	[	[	X
ejpam-5796	194	2	12	12	NUM
ejpam-5796	194	3	]	]	X
ejpam-5796	194	4	constantino	constantino	PROPN
ejpam-5796	194	5	tsallis	tsallis	PROPN
ejpam-5796	194	6	.	.	PUNCT
ejpam-5796	195	1	possible	possible	ADJ
ejpam-5796	195	2	generalization	generalization	NOUN
ejpam-5796	195	3	of	of	ADP
ejpam-5796	195	4	boltzmann	boltzmann	PROPN
ejpam-5796	195	5	-	-	PUNCT
ejpam-5796	195	6	gibbs	gibbs	PROPN
ejpam-5796	195	7	statistics	statistics	PROPN
ejpam-5796	195	8	.	.	PUNCT
ejpam-5796	196	1	journal	journal	NOUN
ejpam-5796	196	2	of	of	ADP
ejpam-5796	196	3	statistical	statistical	ADJ
ejpam-5796	196	4	physics	physics	NOUN
ejpam-5796	196	5	,	,	PUNCT
ejpam-5796	196	6	52:479–487	52:479–487	PROPN
ejpam-5796	196	7	,	,	PUNCT
ejpam-5796	196	8	1988	1988	NUM
ejpam-5796	196	9	.	.	PUNCT