id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajfa-2977	Khalili Araghi, Maryam; Makvandi, Sara	Comparing Logit, Probit and Multiple Discriminant Analysis Models in Predicting Bankruptcy of Companies	2013	12	.pdf	application/pdf	5460	199	66	P ounting and s and also th uld be abl tion of ban stitutions (A informed t t bankruptc nkruptcy pro ruptcy(Arab ls to predict ompositions assified in th models th iate statist bability, log orithms, rec fuzzy logi ding criterio ash manage earch titled tcy of comp with explana profit to cu kruptcy in s and multip is model th hlson model While the 74and 76% discriminant 12 show le-discrimin ion is not h le-discrimin usion study we c s models to was %81, fo model, Could from 55 ba ive high pow sults of Pro ate bankrup nies is %9 nkrupt com pt companie d that Probit 7 0.0010.015X urately estim Estim 0 112 0 35 1 cy in the sa bankrupt co test for com analysis Data e ws the Ra nant regress higher.	cache/ajfa-2977.pdf	txt/ajfa-2977.txt