SAS/ETS 9 22 User''''''''s Guide 237 pptx
SAS/ETS 9.22 User''''s Guide 237 pptx
... -0. 192 66 0.08737
4 -0.12503 0.08737
5 0.033 09 0.08737
6 0.03468 0.08737
7 -0.060 19 0.08737
8 -0.02 022 0.08737
9 0 .225 58 0.08737
10 0.04307 0.08737
11 0.046 59 0.08737
12 -0.338 69 0.08737
13 -0.1 091 8 ... <.0001
32 0. 195 73 0.125 69 84. 590 0 32 <.0001
33 -0. 1224 2 0.12 799 87.2543 33 <.0001
34 0.07775 0.12888 88.3401 34 <.0001
35 -0.15245 0.1 292 4 92 .5584 35...
SAS/ETS 9.22 User''''s Guide 8 pptx
... 199 0 6 1 29. 9
2 199 0 7 130.4
3 199 0 8 131.6
4 199 0 9 132.7
5 199 0 10 133.5
6 199 0 11 133.8
7 199 0 12 133.8
8 199 1 1 134.6
9 199 1 2 134.8
10 199 1 3 135.0
11 199 1 4 135.2
12 199 1 5 135.6
13 199 1 ... 11231 01OCT 199 0
6 NOV 199 0 133.8 11262 01NOV 199 0
7 DEC 199 0 133.8 11 292 01DEC 199 0
8 JAN 199 1 134.6 11323 01JAN 199 1
9 FEB 199 1 134.8 11354 01FEB 199 1
10 MAR 199 1 13...
SAS/ETS 9.22 User''''s Guide 13 pptx
... cpi
37 JUN 199 1 ACTUAL 0 136.000
38 JUN 199 1 FORECAST 0 136.146
39 JUN 199 1 RESIDUAL 0 -0.146
40 JUL 199 1 ACTUAL 0 136.200
41 JUL 199 1 FORECAST 0 136.566
42 JUL 199 1 RESIDUAL 0 -0.366
43 AUG 199 1 FORECAST ... CPI
1 JAN90 Chicago 128.1
2 FEB90 Chicago 1 29. 2
3 MAR90 Chicago 1 29. 5
4 APR90 Chicago 130.4
5 MAY90 Chicago 130.4
6 JUN90 Chicago 131.7
7 JUL90 Chicago 132.0
8 JAN90 Los_Ang...
SAS/ETS 9.22 User''''s Guide 19 pptx
... restart update method of Powell ( 197 7) and Beale ( 197 2).
FR
performs the Fletcher-Reeves update (Fletcher 198 7).
PR
performs the Polak-Ribiere update (Fletcher 198 7).
CD
performs a conjugate-descent ... approximation. The trust region method is implemented using Dennis,
Gay, and Welsch ( 198 1), Gay ( 198 3), and Moré and Sorensen ( 198 3).
The trust region method performs well fo...
SAS/ETS 9.22 User''''s Guide 20 pptx
... Mei, H.H.W. ( 197 9), “Two New Unconstrained Optimization Algorithms Which
Use Function and Gradient Values,” J. Optim. Theory Appl., 28, 453–482.
Dennis, J.E. and Schnabel, R.B. ( 198 3), Numerical ... E.M.L. ( 197 2), “A Derivation of Conjugate Gradients,” in Numerical Methods for Nonlinear
Optimization, ed. F.A. Lootsma, London: Academic Press.
Dennis, J.E., Gay, D.M., and Welsch, R.E. ( 1...
SAS/ETS 9.22 User''''s Guide 33 pptx
... Technometrics, 22, 3 89 396 .
Kohn, R. and Ansley, C. ( 198 5), “Efficient Estimation and Prediction in Time Series Regression
Models,” Biometrika, 72, 3, 694 – 697 .
Ljung, G. M. and Box, G. E. P. ( 197 8), “On ... Models,” JASA, 79 (385),
84 96 .
Tsay, R. S. and Tiao, G. C. ( 198 5), “Use of Canonical Analysis in Time Series Model Identification,”
Biometrika, 72 (2), 299 –315.
Woodfield, T....
SAS/ETS 9.22 User''''s Guide 52 pptx
... 1 1 JAN 198 22 090 255 24368 -227 8 -9. 348
1 1 1 FEB 223 26830 217 20104 6726 33.456
1 1 1 MAR 1 19 14020 210 194 05 -5385 -27.751
1 1 1 QTR1 540 6 294 0 682 63877 -93 7 -1.467
1 1 1 APR 82 98 60 162 ... 16374 -6514 - 39. 783
1 1 1 MAY 180 21330 67 6325 15005 237. 233
1 1 1 JUN 183 21060 124 12333 8727 70.761
1 1 1 QTR2 445 5225 0 353 35032 17218 49. 1 49
1 1 1 JUL 194 23210 99 10310...
SAS/ETS 9.22 User''''s Guide 78 pptx
... Converting Observation Characteristics ✦ 7 69
characteristics of the series. The observation characteristics of the series are specified with ... spaced points in time.
proc expand data=a out=b;
run;
Refer to the section “Missing Values” on page 792 for further information.
Requesting Different Interpolation Methods
By default, a cubic spline ... . . . . . 768
Converting Observation Character...
SAS/ETS 9.22 User''''s Guide 92 pptx
... 0.00
2 108561.77 0.0 5221 2 130 397 .88 130788.65
3 118182. 19 0.087784 161810.00 75 798 . 19
4 107015.58 0.053231 13 195 5 .90 125011.88
5 10 790 6.61 0.052107 130242.56 138063.41
6 578 39. 44 0.051424 137741.07 ... 0.051424 137741.07 0.00
7 240325. 49 0.053247 12 198 0 .94 0.00
8 138858.08 0.0860 79 161536.44 0.00
9 2376 47.82 0.054528 124700 .22 0.00
10 282855.86 0.051800 117 294 ....
SAS/ETS 9.22 User''''s Guide 105 pptx
... Estimates
Approx Approx
Term Estimate Std Err t Value Pr > |t| Label
Join point 12.7504 1.2785 9. 97 <.0001 x0
plateau 0.777516 0.0123 63.10 <.0001 a + b
*
x0 + c
*
x0
**
2
EXOGENOUS Statement
EXOGENOUS ... missing observations, the Durbin-Watson statistic calculated is
d
0
as suggested by Savin and White ( 197 8). This is the usual Durbin-Watson computed by
ignoring the gaps. Savin...
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