ARIMA Parameter Estimation and Backward Selection
Iterationar1ar2ar3ma1sar1sar2sma1
Estimates ( 1 )0.25260.2791-0.0631-0.78690.0119-0.1348-0.6877
(p-val)(0.7228 )(0.5072 )(0.7475 )(0.2771 )(0.9521 )(0.3406 )(8e-04 )
Estimates ( 2 )0.24480.2769-0.0654-0.77950-0.1394-0.6776
(p-val)(0.6694 )(0.4269 )(0.6899 )(0.1807 )(NA )(0.2408 )(0 )
Estimates ( 3 )0.42340.39110-10-0.1576-0.6621
(p-val)(0 )(0 )(NA )(0 )(NA )(0.1792 )(0 )
Estimates ( 4 )0.41540.39780-100-0.7053
(p-val)(0 )(0 )(NA )(0 )(NA )(NA )(0 )
Estimates ( 5 )NANANANANANANA
(p-val)(NA )(NA )(NA )(NA )(NA )(NA )(NA )
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
-0.0294367483509260
0.141805775881584
0.125529242914473
-0.119527257588837
-0.332522927264204
-0.165932029674465
-0.0373318056300648
-0.0420357238947534
0.484260333793857
0.0851293159134662
0.421657518299706
-0.209168888738327
0.0500154658876815
-0.450693121078007
-0.132854513810534
-0.0266202534143681
0.431693656193127
0.217070499802821
0.0231498186425998
-0.0987926618276118
0.355394946840312
-0.0285363941310467
0.302184633431939
-0.335803340907142
-0.0504635314861536
0.237878482526690
-0.0103974381058204
-0.0917592569979596
0.267254724370855
-0.358512357606801
-0.635949033436031
0.206051456722437
0.0967966290594218
0.172974194275974
-0.0367446414446447
-0.0225184500557438
0.485795007117115
-0.176116247409914
0.119078986924709
-0.0245644576969319
-0.0392129579030077
0.293422221100992
0.123881488161293
0.209789484365200
0.200249894770578
0.261125948653436
-0.0273775590191883
-0.119791683928970
0.236203077165402
0.183114070104145
-0.104342923694407
0.26403255343599
0.0231910417951301
0.0644762740256287
0.0173327661981751
0.154743898238585
-0.167174193705001
0.0143883926298813
-0.0444140801435806
-0.0957277048242036
-0.362226812797657
0.110716016818137
-0.0260199022929554
0.514553811865488
0.345519871020107
-0.355400282240806
-0.065675423753433
0.208574029225293
0.0509607206752183
0.229385604132865
0.0472644114027331
-0.184880205560117
0.123537677228064
0.197609278654151
-0.198706083457323
0.00785061642507634
-0.207588119145061
0.118977188969655
0.193258248163247
-0.419076699615105
0.461493991371146
0.0657141120880881
-0.291942187966263
-0.0217493468944917
-0.00891583124366032
0.0183484259447572
-0.43236476771972
-0.161350242301241
-0.26525138739628
-0.478475583579851
-0.117205253741241
-0.112746135946498
0.172548533045439
-0.125904444811116
-0.0128835079122449
-0.0620463046077722
0.476435430565205
-0.205353301634692
-0.195776496497607
-0.260077175231000
0.396377797233241
-0.0163075184859914
-0.120505403548091
-0.227754354338665
-0.0497148859864418
0.35169012114537
0.0832844542538675
0.273685510332028
0.0816351647784337