ARIMA Parameter Estimation and Backward Selection
Iterationar1ar2ar3ma1sar1sar2sma1
Estimates ( 1 )0.24460.1088-0.087-0.64-0.0789-0.0178-0.5091
(p-val)(0.4536 )(0.479 )(0.4234 )(0.0447 )(0.7182 )(0.9055 )(0.0117 )
Estimates ( 2 )0.240.1079-0.0881-0.6359-0.06140-0.5258
(p-val)(0.4549 )(0.4804 )(0.4131 )(0.043 )(0.6966 )(NA )(2e-04 )
Estimates ( 3 )0.24460.1085-0.096-0.634200-0.5666
(p-val)(0.4497 )(0.4762 )(0.3638 )(0.0463 )(NA )(NA )(0 )
Estimates ( 4 )0.05530-0.1199-0.438100-0.5555
(p-val)(0.808 )(NA )(0.1855 )(0.0358 )(NA )(NA )(0 )
Estimates ( 5 )00-0.1242-0.390800-0.5526
(p-val)(NA )(NA )(0.154 )(0 )(NA )(NA )(0 )
Estimates ( 6 )000-0.401800-0.5569
(p-val)(NA )(NA )(NA )(0 )(NA )(NA )(0 )
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
-0.0167878255250622
0.0316514495427434
0.0117125255833526
-0.0147941821450773
-0.0127701052028314
0.052934834248704
0.0533094290612342
0.0196400302956064
0.0248023846760555
-0.0192753454299288
-0.0263271367594602
0.0602905674488451
0.0689799736485111
-0.0165082239348337
0.058077579482577
-0.0230184467367884
0.107054726120315
-0.060623026949493
-0.0334201535986842
0.00201446408301304
-0.0130865155661063
0.0221776009584356
0.0488095409012023
-0.0237182319786233
0.0126588315073944
0.00605177573583744
-0.0731338451114376
-0.0298419913612991
0.00949535487318663
0.0764064339879421
-0.0296994603658607
0.0414482669435048
-0.0414027783398414
0.027990518028109
0.0376338368611556
-0.0240085156328631
-0.0122593695371665
-0.0553168218857788
0.0519027292323281
0.0769603284634227
-0.0014852988055246
-0.0618882455419386
-0.0200300614328574
-0.0044068896748027
-0.0386196906666889
-0.0134392351173211
-0.0472060756984789
-0.0485239276771748
-0.0192212934970775
-0.123608138853026
0.0283145854652987
0.0124800790377512
0.0335531516624543
0.0452488110392354
0.0677447054716646
-0.0247154910830492
-0.0079723658091259
-0.00270680695298284
0.0067734068341237
-0.00198131087367932
0.0386666095989477
-0.000458079767519533
-0.0435426913226419
0.0308609594737744
0.00667187775601417
0.0430582281217523
0.0597854445736574
-0.0257675133716876
0.0120417866805026
-0.000580442224276259
-0.0226314029081953
0.029752536974773
-0.00129860739508084
0.000788751833140902
-0.0201205236919324
-0.00578404862860194
0.00850696688829731
0.0335560165551001
-0.0110481792418106
-0.00168300156841296
-0.0128889439191494
-0.0322523861860661
0.00213092008166665
-0.0190999814874997
-0.00928908248281098
-0.0204870991754627
0.00890902935514641
-0.00444990346515328
0.00572922885416405
0.0337163701320399
-0.00357800002522286
0.0244144361152537
-0.00903305634190702
-0.0223920795528755
-0.00519297724486104
-0.0393418085488236
-0.0339783981529725
-0.0449629530870257
-0.0495181787597685
-0.04258037268703
0.00710679349316244
0.0234759639293606
0.0219065756835302
0.0494152635277636
-0.0681778197328662
-8.0730542875171e-05
-0.0128424471908302
-0.0486432944170119
0.0291206470765465
0.00727211211286655
0.0254895788856658
0.0183631730444554
0.038877613834846
-0.0323753488176351
0.0243811872648551
0.0259297084552684
-0.0114661586407751
0.00287934927847489
0.0226040308027416
0.0177761052928644
-0.00462357651070173
-0.0134877721277869
-0.091566947831093
0.0847455094900361
0.0137524694654247
-0.0250661230192329
0.0270106423068402
-0.0306960361133597
-0.0108446022525139
0.0318302430039972
-0.0314807861573791
-0.0158332199653835