ARIMA Parameter Estimation and Backward Selection
Iterationar1ar2ar3ma1sar1sar2sma1
Estimates ( 1 )0.08150.04640.3131-0.51250.1284-0.2439-0.9999
(p-val)(0.7976 )(0.7618 )(0.0034 )(0.115 )(0.2531 )(0.0273 )(0 )
Estimates ( 2 )00.01490.3026-0.43140.1246-0.2424-1
(p-val)(NA )(0.8814 )(0.0034 )(0 )(0.262 )(0.028 )(0 )
Estimates ( 3 )000.3014-0.42540.1256-0.2421-0.9998
(p-val)(NA )(NA )(0.0034 )(0 )(0.2564 )(0.028 )(0 )
Estimates ( 4 )000.3429-0.44760-0.2533-0.885
(p-val)(NA )(NA )(3e-04 )(0 )(NA )(0.0251 )(0 )
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
-0.0567302081985434
-0.347155079779868
-0.0546825878033451
0.139210258386996
0.202866394246078
-0.0582443036569463
-0.0510212095369914
0.0152716936495722
-0.344187433093682
0.465988957232895
-0.0627957670760368
-0.014541906857671
-0.143088395120998
-0.107914748402143
-0.00652979459109466
0.168411579733485
-0.0132010134318094
-0.12207253766685
0.254717734424317
0.0550564837005135
-0.0807470880631709
-0.266923722290266
-0.0468063968000241
0.150338857240676
0.262548153539298
-0.264225316237916
-0.0628565471440813
0.110802405959234
0.157026245510297
-0.0444110123546854
0.170953977214043
-0.0765198423474469
0.0812851989113718
-0.00523536115619597
-0.17280755019068
0.138555010654374
0.0283711141788349
0.107995559179492
0.0389327823877408
0.0808357415600684
-0.151846049999012
-0.0623892799172361
0.17228206249761
-0.211476787939514
0.196202700017679
-0.145099568410226
0.127951272966153
0.261586020243719
-0.189491092270139
-0.136469879596335
0.0800417011450207
0.215332552835206
-0.101562554775906
0.214204132322062
0.106337029186962
-0.0283809634860651
-0.0604958580497624
-0.270054188908856
0.0080116791473174
0.201783359692259
0.127235434320666
-0.0939552038069313
0.125930774040811
-0.065501522156036
0.106021460588639
-0.0717679282181108
-0.081740401728032
-0.0176583369756724
-0.0156759297237293
-0.195633797682473
0.0154139760680964
0.186310908976227
-0.022525137820276
-0.151476964976764
0.169408534176127
-0.0886281955019963
0.274752747420493
-0.0765902804091612
-0.0632265671390125
-0.0229416406755775
-0.130578742767562
0.0636021927555643
0.132250224633286
-0.0825701863803401
0.0267283586686745
0.0222517807931478
-0.240193734138329
-0.049594644155022
0.14354328367274
-0.0985600811051259
0.0505245192457314
-0.300618477337071
-0.172776740809044
-0.448782775253245
-0.581651714418395
-0.269069939975664
0.172941973680022
-0.0965982469967922
-0.156797009483446
0.0112409837111559
0.0911721721002943
0.205645496412498
0.0864316358556685
0.0156189501085893
-0.110931840496955
0.139451374681632
0.111168189303635
0.213030085791732
-0.0369715854287681
-0.0281324552008851
0.192054196172561
0.138088098877105
-0.173606074186983
-0.197754823101359
-0.00437342566922401
-0.187425445858328
0.192307043068428
-0.0329747680164234
0.158911508995069
0.0499828100804538