SAS/ETS 9 22 User''''''''s Guide 19 pptx
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...
SAS/ETS 9.22 User''''s Guide 8 pptx
... cpi
1 199 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...
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 ... 136.566
42 JUL 199 1 RESIDUAL 0 -0.366
43 AUG 199 1 FORECAST 1 136.856
44 AUG 199 1 L95 1 135.723
45 AUG 199 1 U95 1 137 .99 0
46 SEP 199 1 FORECAST 2 137.443
... C...
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....
SAS/ETS 9.22 User''''s Guide 33 pptx
... portmanteau Q test statistics
(McLeod and Li 198 3), Engle’s Lagrange multiplier tests (Engle 198 2), tests from Lee and King
( 199 3), and tests from Wong and Li ( 199 5). Test statistics and significance ... 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. a...
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 ... Sold 198 223 1 19 540
Sales Revenue 22 090 .00 26830.00 14020.00 6 294 0.00
Number Received 255 217 210 682
Cost of
Items Received 24368.00 20104.00 194 05.00 63877.00
Profi...
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
... FEB2008
2 MONTHLY 360 360 PAYMENT DEC 199 8 DEC2028
3 SEMIMONTHLY 360 360 PAYMENT DEC 199 8 DEC2013
4 MONTHLY 360 360 PAYMENT DEC 199 8 DEC2028
5 MONTHLY 480 480 PAYMENT DEC 199 8 DEC2038
Output 16.4.2 OUTCOMP= ... 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...
SAS/ETS 9.22 User''''s Guide 105 pptx
... covariance matrix is singular, the parameter estimates are not unique. Refer to Noble and
Daniel ( 197 7, pp. 337–340) for more details about generalized inverses.
GENGMMV
specify GMM variance under ... 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 and White s...
SAS/ETS 9.22 User''''s Guide 120 pptx
... THEIL output in Figure 18. 79 are generated.
Figure 18.78 STATS Output
The MODEL Procedure
Dynamic Single-Equation Simulation
Solution Range DATE = FEB 198 0 To NOV 199 1
Descriptive Statistics
Actual ... data=sashelp.citimon;
parameters a 0.010708 b -0.4788 49 c 0 .92 9304;
lhur= 1/(a
*
ip) + b + c
*
lag(lhur) ;
solve lhur / out=sim dynamic stats theil;
range date to '01nov91'd...
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