ARIMA Parameter Estimation and Backward Selection
Iterationar1ar2ar3ma1sar1sar2sma1
Estimates ( 1 )-0.86230.20470.20240.95810.6701-0.1044-0.5478
(p-val)(0 )(0.0906 )(0.0472 )(0 )(0.4377 )(0.4437 )(0.5248 )
Estimates ( 2 )-0.86810.2030.19860.96340.1232-0.02190
(p-val)(0 )(0.0941 )(0.0504 )(0 )(0.2376 )(0.8359 )(NA )
Estimates ( 3 )-0.87140.20280.19850.9660.122300
(p-val)(0 )(0.095 )(0.05 )(0 )(0.2388 )(NA )(NA )
Estimates ( 4 )-0.8470.21870.20390.949000
(p-val)(0 )(0.0672 )(0.0606 )(0 )(NA )(NA )(NA )
Estimates ( 5 )1.07960-0.0839-0.9831000
(p-val)(0 )(NA )(0.2097 )(0 )(NA )(NA )(NA )
Estimates ( 6 )0.965400-0.9228000
(p-val)(0 )(NA )(NA )(0 )(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
0.000788165107863931
0.0132489223692724
-0.0165785697867979
-0.0110066873622017
0.0215690971746326
-0.0127968213462950
0.0161778387108758
0.000439552418031827
0.0125201417853461
-0.0117900793103594
-0.0159692817364978
-3.37122541320690e-06
-0.00792324630806065
0.0113382928195898
-0.00691491023884456
-0.00211754310091083
0.00409063329692452
0.0216028228647927
0.00964238002230986
-0.000625363673826006
-0.000274891853028393
-0.00914063005467886
0.00314846408450515
0.00655356223091216
-0.00149160581005905
-0.00464378824739775
0.00490188675984037
-0.00101663474862561
-0.0197323479863954
-0.00321706970873838
-0.00604566080209275
-0.00442977505149558
0.00814716398821704
-0.0079366339350538
0.00729100116721116
-0.00174829410980596
-0.00465485621017069
-0.00398210683891128
-0.00860925651970172
0.00513749371659032
-0.005847785565199
-0.0107598396161565
0.00239741916835816
-0.00357246760759374
-0.00788516249813652
-0.0203637510132227
-0.0141289641027911
0.00721802692955741
-0.0102596933247649
-0.00875006203359314
0.008166875446843
0.0115352699476357
-0.00717480266612989
0.00605880442683495
-0.00917356800091041
-0.00505421669271584
-0.00656851343367199
-0.00232253444728074
-0.0084592112410199
-0.00120675466774253
-0.000667858409850012
0.00824519156680215
0.00670001638617473
-0.00751757370933443
0.0121030760461333
0.00358655739921207
-0.0114967669063461
0.00193355946441948
-0.00620179583790996
-0.00151131479450288
-0.0057090323047711
0.00711656838260169
0.000709332544524732
0.00160310284676664
-0.00489458074280934
-0.00294415988134366
-0.0100643712106200
0.00227776909849715
-0.00239557025648876
-0.00131977593042084
-0.00428893576831276
-0.0106205417029663
0.00553868223206953
-0.00267761581434325
0.0244914053223614
0.00447168601771026
-0.00973705103529312
-0.0101283165215346
-0.00187723786238202
0.00982148046992348
0.00410179537633496
-0.00361929809503139
0.0256274427147585
0.00252125706625349
0.00787156362577129
0.00486621670932324
-0.00408344890636747
0.00112000632248195
-0.00940285539340006
-0.00958432397583324
-0.00198051999211464
-0.000655714639466027
-0.00674932096305573
0.000193674493841251
-0.00395396927111012
0.000662387661843991
-0.00188670870024339
-0.00168820536681812
0.00705549108403351
-0.00298043366673840
-0.00723370754639964
-0.00400165324113533
0.00323516499491471
0.00270554189981615
-0.000447454597084214
0.00429013238376356
-0.00805483840932963