ARIMA Parameter Estimation and Backward Selection
Iterationar1ar2ar3ma1sar1sar2sma1
Estimates ( 1 )-0.00380.27980.5781-0.16980.2124-0.0883-0.7956
(p-val)(0.9812 )(2e-04 )(0 )(0.4406 )(0.2208 )(0.5074 )(0 )
Estimates ( 2 )00.27940.5766-0.17430.2131-0.0884-0.7963
(p-val)(NA )(1e-04 )(0 )(0.1117 )(0.2176 )(0.505 )(0 )
Estimates ( 3 )00.27760.5824-0.18150.25890-0.8701
(p-val)(NA )(1e-04 )(0 )(0.0914 )(0.1032 )(NA )(0 )
Estimates ( 4 )00.26830.6059-0.22900-0.6722
(p-val)(NA )(1e-04 )(0 )(0.0276 )(NA )(NA )(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
0.00793840643179703
-0.0639183131286769
0.0430737261669381
0.112163601648762
-0.103443172893970
-0.0229267174584029
0.0609980282279095
-0.0141635129951788
0.066968288427359
-0.197076491435857
-0.0650847000782403
-0.00314056324233717
0.0389082272653194
-0.0318831413007357
-0.0271649755204664
-0.12690637563092
0.00398823190691838
0.0678352180201795
0.0137936456991743
-0.0556122589436906
0.0134791993122653
-0.0148408718585251
0.0345125164075704
-0.0363691946849377
-0.0547940165733609
-0.036092313086451
0.0644458803029694
-0.0487644319045315
-0.0621329162605106
-0.0671138824621084
-0.0778421396009102
-0.0116298114707698
-0.0157674419573684
-0.00508244777735796
-0.0031617641340242
-0.0119903689841118
-0.0514137557373244
-0.0130206277648600
0.00505221153582253
-0.0024009815520782
-0.00675548687682403
-0.0421258085709265
-0.0707567618528328
0.089053890389413
0.00386304099714275
0.0492478909248819
0.000219995746500414
0.0320722183660648
0.0608324084354771
0.0442229022056289
0.0136853746269034
-0.0801390372509519
0.00360061707499343
-0.043891402660804
-0.0281018777382285
0.0153012870677775
-0.00894151768477219
0.107175145438438
-0.149980711189072
-0.16092017710803
-0.0521545204707575
0.082013261700397
0.0467308794226465
0.0471682365434126
-0.196257296169377
-0.154192050961628
0.0849736182901274
-0.110772178929076
-0.00769200356407888
-0.00936670013987611
0.0641507459279931
-0.0191164437370215
0.08404580651369
-0.170450936869815
0.0179586070623966
-0.0900183018179854
-0.0623331291939376
-0.081283514469098
0.0928556605236732
-0.0196087127807530
0.128665927704833
-0.125477710821496
0.0250336660872102
0.0293891583215557
-0.00441142367424896
-0.0054809651998808
0.0660802869099563
0.100934103530722
-0.0121528273396790
-0.0127556038510742
-0.0860013699489331
-0.116326706914738
0.00238184746370960
-0.00233113963899326
0.0609522838878156
0.0293878679153631
0.0472977455441573
0.117132678739038
0.147899466775523
-0.123187813800336
-0.00652699684507216
-0.0771467834176069
-0.0349052100150592
0.0519237726434348
-0.0732275070553118
-0.0585389356690331
-0.0377896445057598
0.113004234806455
0.0447436239039381
0.0374018644815916
-0.09457814205452
-0.124856503215817
0.0196974568089820
0.0445287792594554
-0.0182518624169734
0.0258727558741343
-0.00794798507552365
0.0372735283908176
-0.0549415917252335
0.042750698574166
0.00922036095164791