ARIMA Parameter Estimation and Backward Selection
Iterationar1ar2ar3ma1sar1sar2sma1
Estimates ( 1 )0.50940.01030.18-0.9657e-04-0.1322-0.8801
(p-val)(1e-04 )(0.9295 )(0.1115 )(0 )(0.9972 )(0.4037 )(0.0238 )
Estimates ( 2 )0.50930.01030.18-0.96490-0.1326-1.1377
(p-val)(1e-04 )(0.929 )(0.1056 )(0 )(NA )(0.2519 )(0 )
Estimates ( 3 )0.5100.1818-0.96090-0.1309-1.1337
(p-val)(1e-04 )(NA )(0.0978 )(0 )(NA )(0.2517 )(0 )
Estimates ( 4 )0.500800.1724-0.957500-1
(p-val)(3e-04 )(NA )(0.1357 )(0 )(NA )(NA )(5e-04 )
Estimates ( 5 )0.355700-0.806600-1.0002
(p-val)(0.0545 )(NA )(NA )(0 )(NA )(NA )(1e-04 )
Estimates ( 6 )000-0.542600-1
(p-val)(NA )(NA )(NA )(0 )(NA )(NA )(1e-04 )
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
-0.039946852380617
-0.315589971496551
0.507298763254143
0.0720064483333946
-0.407650602989497
0.0713007119894112
0.336849315807543
-0.507860812579947
-0.184703431697422
-0.121153471414913
0.0185926077213306
-0.795868608385904
-0.040558087278299
0.068082317000558
0.108759035003136
-0.371333537407691
0.514396804453193
-0.0224458329283340
0.0982770764288666
-0.218179116386384
0.156436618802062
0.211450546737832
0.0630516215595278
-0.012993646844133
0.839649165157683
0.0197509806418582
-0.0947390720842523
0.0372704048180682
-0.14648981081098
-0.183592460106211
0.0347447774295044
-0.191824677702134
0.565175169726718
-0.282494654524988
-0.434192500889632
-0.0334535175865650
0.243580444203757
0.232744418225944
-0.376414052328499
0.375286015926180
-0.152682933222058
0.190044084415882
-0.0635585507938923
-0.0226119250020036
-0.300711526248445
0.0189152401443393
0.113929578338868
0.638257145462547
-0.585912825124204
-0.0837498027285901
0.136010798278153
-0.384434183738537
0.297470772825319
0.359781729578417
0.0366084794924331
0.124858265616998
-0.617662856820945
-0.356232371036954
-0.175799845809612
-0.211233018620827
-1.22580693026322
0.631504219721569
0.0602124983735749
-0.182799421873237
0.0826971192847698
-0.273613176861056
-0.169744469848779
-0.361609001742235
-0.0840919813429837
-0.440852036859888
-0.165046539537896
-0.729342958149854
0.0751972529404557
0.823352004721834
0.392930934619683
-0.375620190348744
-0.398788724977605
0.229611273096092
-0.069217128844169
0.0826643206379988
0.225950834264436
0.082854401700889
0.820330189601049
0.717970659623447
-0.121111028136425
0.499629897935428
-0.269134171507314
-0.0761976135967192
-0.182752955024993
0.145700096581933
-0.0629671038460616
-0.519277286745729
-0.654900699690967
-0.0534034001529168
0.0647583407100598
0.0655517520413294
-0.0290341377374226
-0.123521241474743
0.253790804556206
0.408169731780436
-0.152600661801058
-0.191083852624269
0.195489606142875
0.120459511541391
0.42315073161399
-0.0499415492339224
-0.00299232927257127
0.0489761393281791