ARIMA Parameter Estimation and Backward Selection
Iterationar1ar2ar3ma1sar1sar2sma1
Estimates ( 1 )0.4925-0.09690.06840.0308-0.12650.01120.3054
(p-val)(0.4624 )(0.7891 )(0.5689 )(0.963 )(0.9038 )(0.9596 )(0.7692 )
Estimates ( 2 )0.523-0.11260.07050-0.12240.01010.3014
(p-val)(0 )(0.3719 )(0.518 )(NA )(0.9057 )(0.9632 )(0.7694 )
Estimates ( 3 )0.5223-0.1120.07020-0.083100.2619
(p-val)(0 )(0.3724 )(0.5193 )(NA )(0.8811 )(NA )(0.6288 )
Estimates ( 4 )0.5248-0.11510.07190000.1809
(p-val)(0 )(0.3535 )(0.5067 )(NA )(NA )(NA )(0.1236 )
Estimates ( 5 )0.5175-0.07700000.177
(p-val)(0 )(0.4837 )(NA )(NA )(NA )(NA )(0.1383 )
Estimates ( 6 )0.4804000000.1921
(p-val)(0 )(NA )(NA )(NA )(NA )(NA )(0.1065 )
Estimates ( 7 )0.4716000000
(p-val)(0 )(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
0.0994999329317115
1.80860507385416
1.26784076418775
1.56619979872046
0.395227675461688
-6.98977500060527
-5.08220006583875
1.70460140871424
7.02095047669728
-5.74154376350913
4.47844565492432
4.12328123770392
-8.78027787496019
-4.07685423410047
1.03094743323235
-1.18185368719457
3.68782959250517
3.7230112077217
7.12865226656791
-5.06118086336474
-6.18710623738528
-1.56775485265115
4.05467564388577
-4.21902643250816
2.97437869663428
-0.215894131994676
4.33436709278621
-0.0428514604673844
1.47530697321537
2.14398877701503
6.36556867239754
-4.03645789929424
0.631826848785037
-4.06265646185752
5.07948723560053
-1.41960096785824
-0.0308141929213785
1.49732937105875
-2.50125243942191
5.14060618157055
3.75862587909441
-4.63848711037376
-8.04623627224519
1.13047458118955
11.5159725188281
16.2281134489943
-4.42826603409493
-2.15396841007873
9.81765390896463
1.76012270585363
19.1655614735820
-8.2567488565646
-10.2073950561041
-8.91364978969526
-9.52064309747335
-22.8617331041205
5.12898270469997
-5.7660936893741
4.77729299889607
1.38138121528619
-4.5584883073518
2.42273670482783
12.7536773860875
-8.32523452779023
5.92944030034221
9.87489719749696
-3.9312448508012
-6.57996516654249
-4.36039039246723
3.58337731719832
0.747076164307542
3.3503094567558
-2.4460346722573
-0.292799559103636
-3.3096769525513
0.327680301633176
3.52575709815423
-4.22249770160542
0.495374123998183
-3.79582614756466
2.48383396979202
8.44403904860007
8.5768234032168
-8.04100972146287
8.74637133829151
6.45699759182973
-3.91649447629075
-4.60707148909642
9.6365834029902
7.27165290989491
-0.79154336446234
-2.03666295160916
18.9591689145289