ARIMA Parameter Estimation and Backward Selection
Iterationar1ar2ar3ma1sar1sar2sma1
Estimates ( 1 )0.24460.1088-0.087-0.64-0.0789-0.0178-0.5091
(p-val)(0.4536 )(0.479 )(0.4234 )(0.0447 )(0.7182 )(0.9055 )(0.0117 )
Estimates ( 2 )0.240.1079-0.0881-0.6359-0.06140-0.5258
(p-val)(0.4549 )(0.4804 )(0.4131 )(0.043 )(0.6966 )(NA )(2e-04 )
Estimates ( 3 )0.24460.1085-0.096-0.634200-0.5666
(p-val)(0.4497 )(0.4761 )(0.3638 )(0.0463 )(NA )(NA )(0 )
Estimates ( 4 )0.05530-0.1199-0.438100-0.5555
(p-val)(0.808 )(NA )(0.1854 )(0.0358 )(NA )(NA )(0 )
Estimates ( 5 )00-0.1242-0.390800-0.5526
(p-val)(NA )(NA )(0.154 )(0 )(NA )(NA )(0 )
Estimates ( 6 )000-0.401800-0.5569
(p-val)(NA )(NA )(NA )(0 )(NA )(NA )(0 )
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
-0.0167878255251196
0.0316514415699204
0.0117125295159832
-0.0147941749449939
-0.0127701063611249
0.052934820935756
0.0533094341188167
0.0196400478697218
0.024802392570716
-0.0192753311642184
-0.0263271338619528
0.0602905496230943
0.0689799737055233
-0.0165081970223748
0.058077576748644
-0.0230184336698035
0.107054715389785
-0.0606229846780614
-0.0334201463544962
0.00201445221461916
-0.0130865121433173
0.0221775918411453
0.0488095375240089
-0.0237182047942177
0.0126588384984836
0.00605177191370807
-0.0731338233077365
-0.02984201895405
0.00949536626113858
0.0764064177576984
-0.0296994425867716
0.0414482669062678
-0.0414027693948665
0.0279905149858921
0.0376338506035702
-0.0240085014721788
-0.0122593625770327
-0.0553168266075711
0.051902696306053
0.07696032115409
-0.0014852537231247
-0.0618882182789601
-0.02003008977523
-0.00440688594514408
-0.0386197080079936
-0.013439235447275
-0.0472060649952466
-0.0485239515266349
-0.0192213122464242
-0.123608169753451
0.0283145567561132
0.0124800914738598
0.0335531653052501
0.0452488076220055
0.0677447073145886
-0.0247154601444921
-0.0079723857854134
-0.0027068085004422
0.00677340016219319
-0.00198133117382115
0.038666603790246
-0.000458125636935003
-0.0435426710159965
0.0308609628479777
0.00667190001467818
0.0430582432227362
0.0597854745573124
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0.0120417715811892
-0.000580440172423551
-0.0226314016735
0.0297525179115254
-0.00129859002357121
0.000788723100441994
-0.0201205309510556
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0.00850697531883208
0.0335560399043222
-0.0110481373258665
-0.00168301371150488
-0.0128889490135786
-0.0322523898536834
0.00213090056900547
-0.0190999805102881
-0.00928908269910916
-0.0204871215585539
0.00890901040599178
-0.00444989495361985
0.00572923798055704
0.0337163953678803
-0.00357797649194591
0.024414431121816
-0.00903305622666088
-0.0223920911087978
-0.00519298826433828
-0.0393418169606421
-0.0339784104876483
-0.0449629844809492
-0.0495181990653828
-0.0425803896773832
0.00710678216987969
0.0234759856003208
0.02190658731204
0.0494152759797819
-0.0681778107686432
-8.07591730489492e-05
-0.0128424579016006
-0.0486433152457468
0.0291206182749276
0.0072720883917187
0.0254895626894639
0.0183631662577974
0.0388776288809843
-0.032375312163267
0.0243811948223569
0.0259297340695159
-0.0114661775900557
0.00287934062659282
0.0226040239615291
0.0177760843676596
-0.00462356505514518
-0.0134877828702165
-0.0915669532073441
0.0847454815306253
0.0137525017487269
-0.025066110242283
0.0270106516635048
-0.0306960088409791
-0.0108446287200388
0.0318302334147384
-0.031480773753783
-0.0158332346698195