ARIMA Parameter Estimation and Backward Selection
Iterationar1ar2ar3ma1sar1sar2sma1
Estimates ( 1 )-0.5879-0.8035-0.50960.3161-0.1538-0.29330.6295
(p-val)(0.1025 )(0 )(0.0724 )(0.4154 )(0.3107 )(0.0407 )(0.01 )
Estimates ( 2 )-0.2825-0.7948-0.27260-0.0951-0.23530.6394
(p-val)(0.0027 )(0 )(0.0034 )(NA )(0.5212 )(0.0336 )(0.015 )
Estimates ( 3 )-0.2739-0.7357-0.262600-0.26070.5069
(p-val)(0.0034 )(1e-04 )(0.0044 )(NA )(NA )(0.0092 )(0.0304 )
Estimates ( 4 )NANANANANANANA
(p-val)(NA )(NA )(NA )(NA )(NA )(NA )(NA )
Estimates ( 5 )NANANANANANANA
(p-val)(NA )(NA )(NA )(NA )(NA )(NA )(NA )
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
0.00371356993902786
-0.0467176091416851
0.227372808426867
-0.165901757890164
0.0630760418022988
-0.137876119930062
0.136233276872954
-0.245518536936256
0.0949588660217464
-0.138898857642854
-0.217625670783549
0.419565075304863
0.139574942772317
0.256561854713213
0.135312293116978
-0.536961518851059
0.0404969451811965
0.141893456434565
0.193297942751106
0.120239951880385
0.044759713656021
-0.0830045247476734
0.282345381025155
0.388562870725937
-0.0382675971977891
-0.170383000189969
-0.161960763332617
0.36765973587787
0.188147587798127
-0.164122723584035
0.382860110325974
0.326066836303714
0.017501905058571
-0.118114260627397
0.290819290405324
0.154315485596075
0.128961186232854
-0.101606959240893
0.123210839850835
-0.322050452001745
-0.000179166350228904
-0.382003565044829
0.33498592267947
0.0284941857374932
-0.0996592798740294
-0.183063108308609
0.0220226107172098
-0.299419139842443
0.16462656683023
0.132932697619301
0.0802844337832555
-0.258738511903075
0.0883803045089801
0.260701721876212
0.289647935622946
0.305792685276257
0.373228720445529
-0.0651930242964288
-0.0388811858159716
0.042494804971047
-0.235859995719195
0.0638771662042399
0.0334128792566028
-0.120152847102795
0.143578168332136
-0.113049656057558
0.56870059980006
-0.085883010879913
0.0641494757806447
0.241861487392923
0.081885354310692
0.0974841066898837
-0.11321658448579
-0.100046674235831
0.0723492697758864
0.158135230066199
-0.241016465818821
0.0875409562836457
0.32605029315134
0.0664163073738857
-0.0103701151206976
-0.165232830553189
-0.0395773990094163
0.145056350498277
0.0243121002785393
-0.0516033910185745
0.0632239280579021
-0.229662515249082
0.11701141207256
0.0107753192107255
0.1094671040548
0.222860251089479
-0.131923235607222
0.0775414681970624
0.0616755607511749
0.0437970616932734
-0.0741739877568538
0.0146511545584609
-0.156869156578925
-0.234873424835405
-0.0767433558650816
0.137283331238726
0.200570970599017
0.31614988327869
-0.0894601463954155
0.332608184401999
0.00461979051113676
-0.057361040769712
0.224924129756632
-0.017351935089682
-0.205517417788904
-0.0797630656814293
-0.206659903684119
-0.0662334589386249
0.15750254942199
0.0522600922178894
0.0983866793128739
0.0335206720184971