ARIMA Parameter Estimation and Backward Selection
Iterationar1ar2ar3ma1sar1sar2sma1
Estimates ( 1 )0.2652-0.0708-0.1464-0.39390.737-0.1256-0.7307
(p-val)(0.4007 )(0.5281 )(0.1863 )(0.2059 )(0.0916 )(0.2871 )(0.1088 )
Estimates ( 2 )0.3170-0.154-0.46510.7337-0.1513-0.7047
(p-val)(0.2599 )(NA )(0.158 )(0.0891 )(0.0717 )(0.1584 )(0.0958 )
Estimates ( 3 )00-0.1715-0.15260.7168-0.1527-0.699
(p-val)(NA )(NA )(0.0874 )(0.1582 )(0.061 )(0.1573 )(0.0779 )
Estimates ( 4 )00-0.141700.6441-0.1456-0.6353
(p-val)(NA )(NA )(0.1506 )(NA )(0.0907 )(0.1723 )(0.1032 )
Estimates ( 5 )00-0.15610-0.217800.2482
(p-val)(NA )(NA )(0.1098 )(NA )(0.8273 )(NA )(0.8022 )
Estimates ( 6 )00-0.15590000.0234
(p-val)(NA )(NA )(0.11 )(NA )(NA )(NA )(0.8274 )
Estimates ( 7 )00-0.1560000
(p-val)(NA )(NA )(0.1097 )(NA )(NA )(NA )(NA )
Estimates ( 8 )0000000
(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
-0.236493005027621
-4.93891480965441
-3.95116239084637
1.9753875025203
-1.7798512823075
2.37611897412902
0.311940513005736
-7.15597025619578
8.46791076910932
-1.41127366738798e-10
4.90820820490978
3.24776205176132
4.99999999991935
-3.06417846121247
10.3119405129169
-1.22014871767994
-2.62388102585579
-4.4402974353625
-1.31194051292749
4.6880594870725
1.06417846121749
2.84402974353625
-3.22014871768125
0.311940512927502
-6.53208923060875
2.376118974145
-2
1.90820820475374
9.46791076939125
3.6880594870725
1.46791076939125
11.4037323081738
-4.37611897414499
-5.84402974353625
6.55970256463751
5.22014871768124
9.06417846121749
-6.22014871768125
-6.06417846121749
-3.44029743536249
-0.0917917952462566
0.908208204753743
9.22014871768125
7.15597025646375
-6.6880594870725
-3.44029743536249
2.09179179524626
-1.09179179524626
1.22014871768125
2.15597025646375
-4
10.3119405129275
-0.688059487072498
5.376118974145
4.55970256463751
-1.15597025646375
0.935821538782506
-1.53208923060875
7.84402974353625
-6
1.6880594870725
-4.75223794828999
0.0641784612174945
2.3119405129275
-7.93582153878251
9.15597025646375
-1.6880594870725
-5.09179179524626
4.40373230817376
2.6880594870725
0.376118974144996
-3.53208923060875
-8.53208923060875
1.15597025646375
9.376118974145
-7.40373230817376
-5.84402974353625
1.55970256463751
-8.93582153878251
5.06417846121749
-7
2.75223794828999
5.93582153878251
-6.09179179524626
-3.376118974145
7.77985128231875
6.22014871768125
2.376118974145
-5.90820820475374
-7.90820820475374
4.46791076939125
-2.09179179524626
-2.40373230817376
2.623881025855
1.84402974353625
6.84402974353625
-0.688059487072498
-3.6880594870725
3.09179179524626
-0.155970256463751
-0.623881025855004
1.3119405129275
-1
2
3.15597025646375
-10.1559702564638
-1.6880594870725
-1.53208923060875