id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cuesj-577	Faqe Hussein, Mohammad M.	Comparison of Time Series Models before and after Using Wavelet Shrinkage Filtering to Forecast the Amount of Natural Gas in Iraq	2022	15	.pdf	application/pdf	7207	318	59	error t P-value AIC HQC SBIC Before using wavelet ARIMA (0,1,1) θ −0.4491 0.148274 −3.0289 0.0044 7.04975 7.06501 7.09197 Haar ARIMA (0,1,1) θ −0.437605 0.149145 −2.9341 0.00565 7.00141 7.01667 7.04363 Daubechies 1 ARIMA (0,1,1) θ −0.437605 0.149145 −2.9341 0.00565 7.00141 7.01667 7.04363 2 ARIMA (0,1,1) θ −0.437605 0.149145 −2.9341 0.00565 7.00141 7.01667 7.04363 3 ARIMA (0,1,1) θ −0.495006 0.146536 −3.378 0.0017 6.9028 6.91807 6.94502 4 ARIMA (0,1,1) θ −0.495876 0.147017 −3.3729 0.00172 6.91675 6.93202 6.95897 5 ARIMA (0,1,1) θ −0.465073 0.147599 −3.1509 0.00317 6.92173 6.937 6.96395 6 ARIMA (0,1,1) θ −0.461273 0.147652 −3.1241 0.00341 6.91783 6.9331 6.96005 7 ARIMA (0,1,1) θ −0.473796 0.146474 −3.2347 0.00252 6.90718 6.92244 6.9494 8 ARIMA (0,1,1) θ −0.498346 0.144843 −3.4406 0.00143 6.86407 6.87933 6.90629 9 ARIMA (1,2,1) θ 0.501546 0.143699 3.49024 0.00129 6.86551 6.88078 6.90773 θ 1.1013 0.00074181 1484.62 0.00000 10 ARIMA (0,1,1) θ −0.494748 0.145456 −3.4014 0.00159 6.87393 6.8892 6.91616 Symlet 2 ARIMA (0,1,1) θ −0.486617 0.146764 −3.3157 0.00202 6.91261 6.92788 6.95484 3 ARIMA (0,1,1) θ −0.495006 0.146536 −3.378 0.0017 6.9028 6.91807 6.94502 4 ARIMA (0,1,1) θ −0.4896 0.146117 −3.3507 0.00183 6.89975 6.91502 6.94198 5 ARIMA (0,1,1) θ −0.499416 0.146321 −3.4132 0.00154 6.88965 6.90492 6.93187 6 ARIMA (0,1,1) θ −0.485861 0.14574 −3.3338 0.00192 6.89689 6.91215 6.93911 7 ARIMA (0,1,1) θ −0.487812 0.146686 −3.3255 0.00196 6.8857 6.90097 6.92792 8 ARIMA (0,1,1) θ −0.488614 0.145876 −3.3495 0.00184 6.89811 6.91338 6.94033 Coiflets 1 ARIMA (0,1,1) θ −0.438559 0.149165 −2.9401 0.00556 6.97715 6.99242 7.01937 2 ARIMA (0,1,1) θ −0.477477 0.146572 −3.2576 0.00237 6.91079 6.92605 6.95301 3 ARIMA (0,1,1) θ −0.481209 0.146402 −3.2869 0.00219 6.90506 6.92032 6.94728 4 ARIMA (0,1,1) θ −0.482222 0.14615 −3.2995 0.00211 6.8993 6.91456 6.94152 5 ARIMA (0,1,1) θ −0.481759 0.146099 −3.2975 0.00212 6.89982 6.91508 6.94204 Meyer D ARIMA (0,1,1) θ −0.491145 0.145599 −3.3733 0.00172 6.87297 6.88824 6.9152 Table 15: Model estimation ARIMA (0,1,1) for natural gas production data using Meyer D method Model Parameter Estimate Std. error t P-value AIC HQC SBIC Meyer D ARIMA (0,1,1) θ −0.491145 0.145599 −3.3733 0.00172 6.87297 6.88824 6.9152 RECOMMENDATIONS The researcher recommends the following points: 1. The currently selected model, model ARIMA (0,1,1), passes five tests.	cache/cuesj-577.pdf	txt/cuesj-577.txt