ARIMA Parameter Estimation and Backward Selection
Iterationar1ar2ar3ma1sar1sar2sma1
Estimates ( 1 )0.8705-0.0380.0631-0.75870.1288-0.1679-0.589
(p-val)(0 )(0.7624 )(0.5377 )(0 )(0.6279 )(0.2595 )(0.0314 )
Estimates ( 2 )0.846700.0468-0.75310.1229-0.1636-0.5822
(p-val)(0 )(NA )(0.5961 )(0 )(0.6473 )(0.2736 )(0.0347 )
Estimates ( 3 )0.840400.057-0.75020-0.2066-0.4609
(p-val)(0 )(NA )(0.5066 )(0 )(NA )(0.0618 )(0 )
Estimates ( 4 )0.915500-0.79750-0.2063-0.4659
(p-val)(0 )(NA )(NA )(0 )(NA )(0.0616 )(0 )
Estimates ( 5 )0.917100-0.786900-0.5367
(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
-1.75710552736277
4.37036984156782
5.56733682158371
-1.22502608761617
6.17947760772367
-3.27463242192432
2.62788568035235
-7.31191024666744
20.4026224220250
3.14904984315364
-12.0294408170748
2.97499628181096
-2.50540841252174
6.20397470781425
7.11236454382875
-5.75978707029165
2.07669939431277
3.84968266390483
7.17657005862486
-20.7985472437999
2.47616020263132
7.70048206934959
17.0410150302587
1.82342232254890
-0.657103823920002
0.667657247621714
0.879852786346653
4.20724824461193
-1.34469469727787
4.70936120045205
3.17476604141831
-8.90113738044943
4.35936608145139
-6.00517142195632
-3.26862669365445
7.36307667210132
-0.684491781598508
2.56151380942373
2.59683504548696
-9.34575586502546
1.47814969399148
3.95925883195707
-7.56318987161723
-0.454863309336633
5.7589558411962
9.74559101377527
2.82740227342485
-4.59768808467466
-11.404693901093
0.79997135992187
2.58613654851417
-2.12529903043408
1.52785686450852
-0.994794779709568
-1.84839693477809
-8.36415360384086
0.84070786726932
-10.0412273609373
2.55336194645880
2.3955062698709
-3.53981729910627
0.9791348097572
-2.3785807726873
3.47775699377613
6.79121492614497
-2.38010847238721
-7.82729253314746
-3.55710159423669
-2.81645031700517
-17.1399191811868
-0.976455129252032
-8.66618491123923
7.67235940350052
-6.56218872528163
-5.07010232624233
4.68004244763872
-8.18930168258529
-10.3595645692003
9.92393166301725
2.87963474175961
-17.2744505382325
9.52660238160789
5.59119791542453
9.41300562088441
1.21012853235516
-1.23342184144995
-2.49700588856741
5.21813067262946
-10.0524235762730
15.3352488417929
-5.17720592836038
-4.4494874830342
-2.65861034332372
2.97135374088021
13.6790670841712
9.99004512114149
8.60659244080104
8.23129261313534
11.2975830438965
1.21156348901393
-4.20732406110045
3.36936778152457
-3.04605728903471
-0.369039296452072
-7.80523217419634
-2.13318731939012
3.96605159262976
9.30362659627173
-4.69115327173078
-5.88732885945912
-8.48849439519244
-8.42872565114027
-1.95067994112124
4.87521243438378
4.67379768403764
-6.58230989703989
-2.14017507177124
-3.67270513459036
-2.59506890146348