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 )(0.9054 )(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 )(0.4762 )(0.3638 )(0.0463 )(NA )(NA )(0 )
Estimates ( 4 )0.05530-0.1199-0.438100-0.5555
(p-val)(0.808 )(NA )(0.1855 )(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
-0.0167878255251082
0.0316514431628465
0.0117125287284113
-0.0147941763912191
-0.0127701061122684
0.0529348236070206
0.0533094330957617
0.0196400443404839
0.0248023910154591
-0.0192753339888282
-0.0263271344356728
0.0602905531974216
0.0689799736790692
-0.0165082024235429
0.0580775773220431
-0.0230184362519321
0.107054717527790
-0.0606229931123459
-0.0334201478174612
0.00201445464976539
-0.0130865128619388
0.0221775936505847
0.0488095381909689
-0.0237182102405654
0.0126588371167401
0.00605177270388615
-0.0731338276800284
-0.02984201342507
0.00949536398982095
0.0764064209663338
-0.0296994461648622
0.0414482669190051
-0.0414027711414239
0.0279905155827503
0.0376338478752856
-0.0240085043363398
-0.0122593639502618
-0.0553168256444337
0.0519027028856424
0.0769603226044623
-0.00148526277685491
-0.0618882237039485
-0.0200300840616971
-0.00440688668398953
-0.0386197045755082
-0.0134392353928622
-0.0472060671350477
-0.0485239467694362
-0.0192213084958797
-0.123608163595612
0.0283145624855698
0.0124800889805289
0.0335531625143127
0.0452488083201164
0.0677447069484102
-0.0247154663130941
-0.00797238177037313
-0.00270680815538674
0.0067734014801744
-0.00198132712301080
0.0386666049458943
-0.00045811646391953
-0.0435426750776465
0.0308609621983866
0.00667189556189874
0.0430582401789945
0.0597854685718034
-0.0257675000642503
0.0120417746256129
-0.000580440553698127
-0.0226314019350368
0.0297525217279222
-0.00129859350283516
0.000788728834152803
-0.0201205294845415
-0.00578403684298261
0.0085069736362165
0.0335560352229583
-0.0110481457127419
-0.00168301127959821
-0.0128889479753815
-0.0322523891246778
0.00213090447241509
-0.0190999807139289
-0.00928908267013954
-0.0204871170802586
0.00890901418815925
-0.00444989665809961
0.00572923614522406
0.0337163903278818
-0.00357798120244817
0.0244144321236515
-0.00903305623506187
-0.0223920888002167
-0.00519298604656865
-0.0393418152845792
-0.0339784080290327
-0.0449629782036208
-0.0495181950195898
-0.0425803862900122
0.00710678441709638
0.0234759812455123
0.0219065849649139
0.0494152734942516
-0.0681778125510764
-8.07534303176426e-05
-0.0128424557328425
-0.0486433111179407
0.0291206240369382
0.00727209312370156
0.0254895659054381
0.0183631676277193
0.0388776258750306
-0.0323753194802955
0.0243811933204042
0.0259297289666381
-0.0114661738239557
0.00287934236833625
0.0226040253403777
0.0177760885453254
-0.00462356734804729
-0.0134877807122933
-0.0915669521214004
0.084745487127337
0.0137524952811075
-0.0250661128501804
0.0270106498396373
-0.0306960142873828
-0.0108446234333154
0.0318302353426095
-0.0314807762534805
-0.0158332317327114