ARIMA Parameter Estimation and Backward Selection
Iterationar1ar2ar3ma1sar1sar2sma1
Estimates ( 1 )0.08220.0828-0.0786-0.92790.048-0.0368-1
(p-val)(0.4196 )(0.4145 )(0.4644 )(0 )(0.6591 )(0.7467 )(3e-04 )
Estimates ( 2 )0.07810.0768-0.0907-0.92580.05280-1.0002
(p-val)(0.4403 )(0.4418 )(0.3677 )(0 )(0.6258 )(NA )(0 )
Estimates ( 3 )0.08090.073-0.0983-1.084300-1
(p-val)(0.4234 )(0.4622 )(0.3224 )(0 )(NA )(NA )(0.0033 )
Estimates ( 4 )0.07190-0.1053-0.906600-1
(p-val)(0.486 )(NA )(0.294 )(0 )(NA )(NA )(0.0011 )
Estimates ( 5 )00-0.1159-1.12900-1
(p-val)(NA )(NA )(0.2505 )(0 )(NA )(NA )(0.0074 )
Estimates ( 6 )000-1.097600-0.9988
(p-val)(NA )(NA )(NA )(0 )(NA )(NA )(0.0038 )
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
-0.0079998372170932
-1.39716087620003
-2.40815982495955
-2.00403364358714
-1.07302848268938
-2.81732899941375
1.28922242835901
-3.13410078201481
1.42608217835076
-4.10192317998436
-5.19803546887275
-0.182660301498588
2.59830675677786
0.899842105203276
1.45537198986188
-1.60200457629346
2.41991231032634
1.73961380931053
1.13556448006816
5.36062608918254
-4.35489677548235
-2.14480085711468
-1.34255817472713
0.716225467638636
2.90212334513734
0.208275296388138
-0.00767764902448643
4.76547391557672
-2.46995352920097
5.14822323433518
-1.82430095312621
-1.83396167153111
-1.01311440504683
-2.82241372912373
0.713494013560601
-4.97534406261816
0.0884979731775432
-2.90408532537941
1.17374312309839
1.14819777532446
2.78152423168838
2.3486197969148
5.38132235122842
-3.31677266747325
0.762128639667711
0.976272949295993
2.35637096625062
-1.82665361970977
0.310074792854799
1.03005509999823
3.14544272464334
8.28412941664331
1.04875166032434
-1.66182380927664
3.51560547675357
-2.80127167902016
1.06581731331379
-3.46020709304519
-2.46375014933843
-2.86508588831137
0.0388087765839704
7.10940167948349
1.08130152483895
1.71123296388192
-1.36745305828431
-1.79043529147602
-1.11767353364844
-0.872393304362172
4.96201820402239
2.74891311977896
-7.98882490343862
-0.792446588493484
3.37608663077011
0.354335597711854
0.718620152896264
-1.00070874892853
-1.75532673131064
-2.40420291810422
-1.18272067284288
0.996922685247323
-2.5271481115021
-0.255267321201694
3.36803271327589
7.45976057495104
-1.05143016728108
4.03945161022573
0.579311420038821
2.73024009358995
-1.85235471956889
0.559373743200481
-0.598471024392924
-1.71379119551196
-0.798191235363769
0.754610285508343
1.03548701762743
-0.585791667657657
-0.616653030849657
0.252122835787286
1.90863299873564
-0.586078168724131
-0.52435302390462
2.92436530878843
-1.49454262776945
3.14369088535521
2.6816129607928
3.39076697716525
1.39351599550383
-1.05000932458721
1.485807284787
0.898035515222101
5.59734879630937
-2.72485700467756
-3.35609804213326
1.33209025482818
1.02202092224882
-5.28285795464689
-0.446663473108876
0.1682666144319