ARIMA Parameter Estimation and Backward Selection
Iterationar1ar2ar3ma1sar1sar2sma1
Estimates ( 1 )0.3994-0.20480.12280.01240.58340.1735-0.6957
(p-val)(0.5064 )(0.4196 )(0.361 )(0.9837 )(0.207 )(0.1157 )(0.1434 )
Estimates ( 2 )0.4116-0.20960.124800.58740.1733-0.7002
(p-val)(0 )(0.0449 )(0.1972 )(NA )(0.1899 )(0.1127 )(0.1282 )
Estimates ( 3 )0.3892-0.1549000.51140.1542-0.6098
(p-val)(1e-04 )(0.103 )(NA )(NA )(0.2772 )(0.1552 )(0.1983 )
Estimates ( 4 )0.3768-0.15050000.079-0.1006
(p-val)(1e-04 )(0.1117 )(NA )(NA )(NA )(0.464 )(0.2982 )
Estimates ( 5 )0.3617-0.15040000-0.086
(p-val)(2e-04 )(0.1109 )(NA )(NA )(NA )(NA )(0.3408 )
Estimates ( 6 )0.3672-0.151900000
(p-val)(1e-04 )(0.107 )(NA )(NA )(NA )(NA )(NA )
Estimates ( 7 )0.3155000000
(p-val)(5e-04 )(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
0.0074270957686647
0.317672843902361
-0.24256588990092
0.00112233153382935
-0.128833509583067
-0.109657948352255
-0.141615809293881
0.103411168131955
0.280435567411851
-0.0238282383175790
-0.0254874917634051
-0.116063975398283
0.0804848105647071
-0.109643049272766
-0.0769650553121348
0.0765661707435106
0.0489221176011698
0.234626115987290
0.236107770597177
0.226409902688503
-0.182754106274126
0.115133143606291
-0.0247512745807850
0.170557123960721
0.0786077300694519
0.337727799931537
0.0128009690341369
0.0370778523529225
0.0427896323104608
0.599335655045683
-0.150874983201255
-0.173165351154964
-0.0943766440764353
0.103007907595282
0.334659095907385
-0.124198556960733
0.539160070317713
0.0949440433999236
0.00140854338420837
-0.287463745779243
-0.111540545256036
0.0475871888837052
0.0869035257917616
0.0645849400843073
-0.100189036142602
0.076085379308287
0.205707538291110
0.331854297085961
0.226815050604085
-0.30143750133389
0.0525747515909227
0.150083545397582
-0.288063633720443
-0.0982332458201345
-0.396928042988245
-0.0427306047550982
0.0604924821480548
-0.090778617471777
-0.174025658174209
-0.124848605475171
0.0874723472955523
0.141930777277260
-0.213305623955865
0.130576807251408
0.137981701731006
0.340877049290251
-0.226371510454005
0.106048781961201
0.0609032477970786
-0.145217722658041
-0.0769736705772335
0.194207544216059
0.126908319972001
-0.262988981828364
0.118019984656499
0.0787019486575069
0.152733709907006
-0.124760142903792
-0.0719321444733279
0.184389094169239
-0.147547660376119
0.186703684852764
0.159257693283267
0.161333629362780
-0.203148560783669
0.00708790951631855
-0.0814838176081594
0.434941565815819
-0.125499540896229
-0.129295062445724
-0.0461782654286917
0.06839428061609
-0.557015083033988
-0.236804472011221
-0.637063912574217
-0.214550945906876
0.567783430340445
-0.42647376984643
-0.166429443786187
0.267924216196477
-0.0231793106212397
0.299045407211862
0.164668573471094
-0.00427383499962097
0.146933587387538
0.156084303165123
0.119450773699736
0.0338510890375385
-0.203652090093865
-0.148563298284621
-0.342561303144810
0.0264905021764736
-0.141341624108934
-0.542783891002545
-0.062145058931959
0.336177421245683
-0.0614459990681784
0.0723475897351324
0.449566577136995
-0.335631578336947