ARIMA Parameter Estimation and Backward Selection
Iterationar1ar2ar3ma1sar1sar2sma1
Estimates ( 1 )0.9403-0.160.1208-0.76310.2278-0.0973-0.7889
(p-val)(0 )(0.2542 )(0.2465 )(0 )(0.3121 )(0.5155 )(0.0026 )
Estimates ( 2 )0.9297-0.13660.1048-0.75630.30720-1.1083
(p-val)(0 )(0.3129 )(0.3015 )(0 )(0.0822 )(NA )(0.0016 )
Estimates ( 3 )0.84200.0444-0.73350.3090-1.1697
(p-val)(0 )(NA )(0.6088 )(0 )(0.1041 )(NA )(1e-04 )
Estimates ( 4 )0.903700-0.77790.32440-0.8733
(p-val)(0 )(NA )(NA )(0 )(0.0798 )(NA )(2e-04 )
Estimates ( 5 )0.920400-0.783400-0.5815
(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
-1.33637994496789
2.5505584203868
3.91139332320353
-1.72087535312636
4.6700342146398
-2.74560813167806
0.326296880205094
-3.95983655966329
13.9806125046014
2.84155802303687
-7.68634400319816
2.15264292155107
-1.43475956691175
4.85327038368555
5.85404155783924
-4.78451161856814
1.79459512550481
1.13097420831175
0.212698244887548
-11.2613492818601
0.884709959910375
7.5493977753196
12.2017172013728
1.00669518127208
-0.0505951316463223
1.83913193673422
0.75606541654781
5.474791619457
-3.20641686971057
3.00302926116211
-1.04427114272206
-2.30097725975074
1.81688275065872
-3.1359277204423
-2.40662112725277
4.33194703783824
0.136366221225754
1.82359867318673
5.32514733763154
-8.15726029775783
2.77425209298365
1.81863951378772
-8.7864674630133
4.31717833652532
5.67063832923709
11.0323981441236
-0.338179072295962
-1.04053646803794
-8.47745286756994
1.73993428617053
0.361681870929897
-2.81938704416345
1.45062994631549
-1.21049841755996
-1.84021827216848
-6.32534584068303
0.54396399529051
-8.87363683805637
3.93718263933716
2.46335612312886
0.534046746125432
-0.605284676904308
-0.626984335514032
1.66644220659255
4.6095808304258
-2.01981008429551
-3.02575014250352
-2.42027030171848
-2.28425118078024
-13.7862741620806
0.0741015237380737
-3.47605720035217
0.403481665378031
-2.76566145339386
-4.63712601275771
2.60995153144162
-5.12446069169316
-7.17491042323247
10.7912203878153
2.10462399350504
-10.9315725479551
5.66496311204764
2.60915417006924
4.26332146939414
-0.122739609193282
-2.28144355865498
-0.126376890929133
2.45706121761559
-6.70777845698055
10.4666442843204
0.871244794766226
-3.91663051353796
-2.70108990168285
1.31518057667294
8.45467900418721
6.90722966696228
4.53643454061959
6.60407933392522
7.62832667542597
0.575342759344939
-1.79991327208584
4.63332328802241
-1.19992164751353
-1.50573860393361
-6.71064128869366
-1.86890123529865
1.83179152191894
6.5504184855184
-2.49000592269727
-5.15908316424443
-5.28822745646887
-6.16191145498065
-0.701217116339119
3.01999550664862
7.04208294885268
-5.44006789066294
-5.30109394189252
-4.38306929660935
-1.70389193648474