ARIMA Parameter Estimation and Backward Selection
Iterationar1ar2ar3ma1sar1sar2sma1
Estimates ( 1 )0.95990.1887-0.6001-0.91970.2086-0.2953-0.9197
(p-val)(0 )(0.2705 )(0 )(0 )(0.1062 )(0.0226 )(0 )
Estimates ( 2 )1.06520-0.4938-1.08270.1186-0.2049-1.0827
(p-val)(0 )(NA )(0 )(0 )(0.2759 )(0.0629 )(0 )
Estimates ( 3 )1.08070-0.5076-0.91380-0.226-0.9138
(p-val)(0 )(NA )(0 )(0.0587 )(NA )(0.0314 )(0.0587 )
Estimates ( 4 )0.67990-0.3448000.0367-1
(p-val)(0 )(NA )(0 )(NA )(NA )(0.7302 )(0 )
Estimates ( 5 )0.69130-0.3524000-1
(p-val)(0 )(NA )(0 )(NA )(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
-0.176998520246347
-0.675156249477712
4.52361092037059
6.15820096983357
0.951151218412874
0.780963369786541
-0.849862266657126
5.85044205409517
1.26487454745731
1.75901677123442
0.325263193064675
-10.0996993993571
-1.74481589015005
-4.17587971257223
3.0129734707034
5.29506672555919
-0.208618331257956
4.65341822727401
2.2885533458857
1.29680903089801
5.21718254362289
4.14111860237707
-5.12302511979767
-4.6881820378309
-0.490017526365995
-4.65350485300249
2.58757358359902
3.02008618520438
-1.69840014678051
1.29075417478749
3.86610584757987
1.72816745517
0.82731753578914
2.07356558714866
-0.0345740486479848
-9.67957360418496
-0.619798575420078
-2.21974913479627
0.291692386688723
3.04416040129424
-0.586221288786239
1.31210884567486
-1.22560865740813
4.44524697340918
2.32302644161329
0.901123716872961
0.845785764896035
-7.66152114308229
-1.74347096787116
-0.563869218822041
1.68825675541647
-2.18545224927222
1.94788183092173
2.37838429797441
-0.169504751442407
3.26382931392168
3.2089870918134
1.31537230171788
2.06365069833863
-3.87883086101325
-4.76025439494404
-2.94166277329811
7.49098409569719
-1.33692347880172
-1.32540367846874
2.3465380331543
3.42319860402567
2.09155626306573
0.735966417664488
2.45165819706787
3.24220283605399
-8.20940202958653
-2.3536659161794
-2.0326265130445
1.79382966473361
3.18602442739531
-3.4536529964084
2.02675794205478
3.96789967864599
0.292266894530385
0.0872137037551855
3.39794295787543
0.491357906304707
-7.71153596764034
-3.28134679842706
-3.95430780572703
5.16879504308489
0.851769435524158
-1.67516446566695
2.61642603117326
2.19062978867846
1.56098488201264
3.73163875857327
1.69175739566788
2.00504779343186
-7.13376940881728
-2.6787341835903
-2.36409036289954
5.50090121257536
-11.2403151876641
20.8327109842613
-7.48292415045166
-2.96007510915391
9.53335979554981
1.01650037280329
0.019792863759831
2.73606501351052
-7.62550579404686
-5.24531475435214
-2.70170970900374
4.70476529449638
1.52660896808544
0.152719992011177
0.370173675680496