ARIMA Parameter Estimation and Backward Selection
Iterationar1ar2ar3ar4ar5ar6ar7ar8ar9ar10ar11ma1sar1sma1
Estimates ( 1 )-1.0207-0.6867-0.3169-0.3977-0.08710.26780.33970.50150.44940.2028-0.28670.1802-0.8025-0.1188
(p-val)(0.0473 )(0.196 )(0.4816 )(0.2076 )(0.8023 )(0.3548 )(0.3414 )(0.2017 )(0.28 )(0.5944 )(0.3138 )(0.7231 )(4e-04 )(0.8541 )
Estimates ( 2 )-0.9905-0.6632-0.2903-0.398-0.0780.26490.32030.48120.42740.2048-0.27560.1704-0.83510
(p-val)(0.0611 )(0.2185 )(0.4977 )(0.1944 )(0.8221 )(0.3451 )(0.3518 )(0.2052 )(0.2878 )(0.5978 )(0.3417 )(0.7583 )(0 )(NA )
Estimates ( 3 )-0.8998-0.5699-0.2082-0.337500.30680.31920.46830.39060.1546-0.32090.0767-0.83990
(p-val)(0.0352 )(0.1664 )(0.4162 )(0.0127 )(NA )(0.1245 )(0.3633 )(0.2226 )(0.2958 )(0.6369 )(0.1445 )(0.8779 )(0 )(NA )
Estimates ( 4 )-0.8401-0.515-0.1806-0.339500.2860.27730.42310.34930.119-0.34340-0.83510
(p-val)(0 )(0.0078 )(0.2964 )(0.0116 )(NA )(0.045 )(0.1756 )(0.065 )(0.1397 )(0.5756 )(0.025 )(NA )(0 )(NA )
Estimates ( 5 )-0.8107-0.4738-0.1446-0.316900.2520.22530.35030.24350-0.40850-0.83940
(p-val)(0 )(0.0064 )(0.3674 )(0.0142 )(NA )(0.049 )(0.2154 )(0.0596 )(0.0855 )(NA )(1e-04 )(NA )(0 )(NA )
Estimates ( 6 )-0.7713-0.37990-0.252300.26870.25130.36170.21040-0.41120-0.84390
(p-val)(0 )(0.0051 )(NA )(0.0174 )(NA )(0.0375 )(0.1676 )(0.0535 )(0.125 )(NA )(0 )(NA )(0 )(NA )
Estimates ( 7 )-0.6926-0.33350-0.276100.161100.1790.13450-0.43670-0.80520
(p-val)(0 )(0.0162 )(NA )(0.0121 )(NA )(0.1306 )(NA )(0.2125 )(0.3001 )(NA )(0 )(NA )(0 )(NA )
Estimates ( 8 )-0.675-0.3510-0.299300.208700.110300-0.42190-0.8140
(p-val)(0 )(0.0107 )(NA )(0.005 )(NA )(0.0292 )(NA )(0.3935 )(NA )(NA )(0 )(NA )(0 )(NA )
Estimates ( 9 )-0.6755-0.29690-0.31700.20570000-0.38240-0.78110
(p-val)(0 )(0.0182 )(NA )(0.0046 )(NA )(0.0462 )(NA )(NA )(NA )(NA )(0 )(NA )(0 )(NA )
Estimates ( 10 )NANANANANANANANANANANANANANA
(p-val)(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )
Estimates ( 11 )NANANANANANANANANANANANANANA
(p-val)(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )
Estimates ( 12 )NANANANANANANANANANANANANANA
(p-val)(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )
Estimates ( 13 )NANANANANANANANANANANANANANA
(p-val)(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )
Estimates ( 14 )NANANANANANANANANANANANANANA
(p-val)(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )
Estimates ( 15 )NANANANANANANANANANANANANANA
(p-val)(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )
Estimates ( 16 )NANANANANANANANANANANANANANA
(p-val)(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )
Estimates ( 17 )NANANANANANANANANANANANANANA
(p-val)(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )
Estimates ( 18 )NANANANANANANANANANANANANANA
(p-val)(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )
Estimates ( 19 )NANANANANANANANANANANANANANA
(p-val)(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )
Estimates ( 20 )NANANANANANANANANANANANANANA
(p-val)(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )
Estimates ( 21 )NANANANANANANANANANANANANANA
(p-val)(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )
Estimates ( 22 )NANANANANANANANANANANANANANA
(p-val)(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )
Estimates ( 23 )NANANANANANANANANANANANANANA
(p-val)(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )
Estimates ( 24 )NANANANANANANANANANANANANANA
(p-val)(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )
Estimates ( 25 )NANANANANANANANANANANANANANA
(p-val)(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )
Estimates ( 26 )NANANANANANANANANANANANANANA
(p-val)(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )
Estimates ( 27 )NANANANANANANANANANANANANANA
(p-val)(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )(NA )


Estimated ARIMA Residuals
Value
-0.373982936105592
10.0194191039831
0.41191380057212
6.24018743643668
-19.9989906269573
-5.26993947195476
-6.8348156254557
1.49943413223811
8.57209686924787
-3.78774785230666
-1.12981531967488
-3.25871532916997
4.37330800539202
-3.509304053403
6.45210322445335
-0.279085901525297
-12.0700541681465
4.00916265702296
4.04464503043682
9.01851944503125
7.84317147228986
10.1327442368924
-1.98995894291758
7.3506543906598
-13.0385269873700
-2.14220185701396
19.8548038524118
9.43303070690949
-17.0977567203669
4.67981489287453
1.32672341528063
4.39917861556240
-7.6122905643733
3.46220640431329
11.1008582031145
-3.90758769827321
6.57474016769578
-4.68593303526166
-1.33124942014214
-1.85651552577584
7.49279686783092
5.09751666061911
-9.4860235233927
1.83406990224820
-6.38439636006752
-6.3867618642245
2.01546270149489
-16.6597808056317