ARIMA Parameter Estimation and Backward Selection
Iterationar1ar2ar3ma1sar1sar2sma1
Estimates ( 1 )0.9444-0.12130.0722-0.75580.0056-0.1864-0.5074
(p-val)(0 )(0.3796 )(0.4922 )(0 )(0.9787 )(0.1715 )(0.0166 )
Estimates ( 2 )0.9441-0.12120.0725-0.75560-0.1884-0.5027
(p-val)(0 )(0.3797 )(0.4861 )(0 )(NA )(0.101 )(0 )
Estimates ( 3 )0.9777-0.06760-0.7940-0.1817-0.5032
(p-val)(0 )(0.5483 )(NA )(0 )(NA )(0.1124 )(0 )
Estimates ( 4 )0.893100-0.75530-0.1735-0.4965
(p-val)(0 )(NA )(NA )(0 )(NA )(0.1301 )(0 )
Estimates ( 5 )0.895500-0.745600-0.5668
(p-val)(0 )(NA )(NA )(0 )(NA )(NA )(0 )
Estimates ( 6 )NANANANANANANA
(p-val)(NA )(NA )(NA )(NA )(NA )(NA )(NA )
Estimates ( 7 )NANANANANANANA
(p-val)(NA )(NA )(NA )(NA )(NA )(NA )(NA )
Estimates ( 8 )NANANANANANANA
(p-val)(NA )(NA )(NA )(NA )(NA )(NA )(NA )
Estimates ( 9 )NANANANANANANA
(p-val)(NA )(NA )(NA )(NA )(NA )(NA )(NA )
Estimates ( 10 )NANANANANANANA
(p-val)(NA )(NA )(NA )(NA )(NA )(NA )(NA )
Estimates ( 11 )NANANANANANANA
(p-val)(NA )(NA )(NA )(NA )(NA )(NA )(NA )
Estimates ( 12 )NANANANANANANA
(p-val)(NA )(NA )(NA )(NA )(NA )(NA )(NA )
Estimates ( 13 )NANANANANANANA
(p-val)(NA )(NA )(NA )(NA )(NA )(NA )(NA )


Estimated ARIMA Residuals
Value
-1.62810811804488
3.45303679527047
-2.32819452684874
5.12597438717812
5.35250246484653
-4.96019989637298
0.317137904064819
4.81532687298574
6.07697620866342
-17.5618195288146
-3.51432158139241
6.65236175194329
19.9094561845074
1.61325120376517
-1.09482967041985
-0.998261889005277
-1.24404950826157
5.10510348220555
-3.22154468673354
5.54490421194132
1.85074399780086
-4.28717200979922
-2.25610650215566
-6.81593680685623
0.091746364094831
7.74057444332661
-0.56697741423017
1.81380412999898
1.54048576714124
-8.55359490834157
0.866061568799112
4.29640218093247
-8.20701468416593
2.49344390319927
2.89999891356712
8.98393447103739
3.36453518601554
-4.44653060562981
-11.3204827498579
0.850626589876246
2.41764458119665
-2.1057087066922
1.39375480265878
-0.879093428127529
-2.28686741666279
-6.98834566673228
-0.233237912272777
-9.7118156903712
3.44912283324363
2.29246231839662
-3.87200045112604
0.894395566613644
-2.53237049328687
3.71296143504669
6.53414804512268
-2.63398038428954
-7.90923852398756
-3.36833822798548
-3.49753656490439
-17.5911005457175
-0.206413017558171
-8.2116856249736
8.01537475527015
-6.66325517456419
-5.25787607533297
4.91355826449643
-8.2631553189966
-10.3407929217795
9.75929900320423
2.91054103208316
-17.96901443393
9.22649408766566
5.44339320689888
8.82208106196846
0.955391000451102
-1.87084973738479
-2.91636266848164
5.06258620443462
-10.7054527728572
15.1151766927699
-5.17414464354143
-4.33589999716848
-3.27000877041037
3.59356352008875
13.8886159925549
10.0856425034068
7.94494032568083
7.87548360512074
10.8787462886500
0.832371503495729
-4.58488862410056
3.99731662695622
-3.47603247657919
-0.431353435569242
-7.46411872671723
-2.04513488048097
4.70179194466549
9.61714884803634
-4.44030739684531
-5.49612695785711
-7.89040651779394
-8.0187084436178
-1.43327979199567
4.97953212790059
4.81479946265105
-6.50386048086631
-2.37069557661648
-3.7848933560805
-2.50191201722332