SAS/ETS 9 22 User''''''''s Guide 3 ppt

SAS/ETS 9.22 User''''s Guide 3 ppt

SAS/ETS 9.22 User''''s Guide 3 ppt

... added to SAS/ETS software since the publication of SAS/ETS Software: Changes and Enhancements for Release 8.2 are summarized in Chapter 1, “What’s New in SAS/ETS 9. 22. ” If you have used SAS/ETS ... weathering (Khan 199 0)  learning curve analysis for predicting manufacturing costs of aircraft (Le Bouton 198 9)  analyzing Dow Jones stock index trends (Early, Sweeney, and Zekavat...

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SAS/ETS 9.22 User''''s Guide 1 ppt

SAS/ETS 9.22 User''''s Guide 1 ppt

... Institute Inc. 2010. SAS/ETS ® 9. 22 User’s Guide. Cary, NC: SAS Institute Inc. SAS/ETS ® 9. 22 User’s Guide Copyright © 2010, SAS Institute Inc., Cary, NC, USA ISBN 97 8-1-60764-5 43- 6 All rights reserved. ... 2 295 III Data Access Engines 2 39 5 Chapter 35 . The SASECRSP Interface Engine . . . . . . . . . . . . . . . . 2 39 7 Chapter 36 . The SASEFAME Interface Engine ....

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SAS/ETS 9.22 User''''s Guide 8 pptx

SAS/ETS 9.22 User''''s Guide 8 pptx

... 67 Figure 3. 1 Time Series Data Obs year month 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 ... 130 .4 111 39 01JUL 199 0 3 AUG 199 0 131 .6 11170 01AUG 199 0 4 SEP 199 0 132 .7 11201 01SEP 199 0 5 OCT 199 0 133 .5 11 231 01OCT 199 0 6 NOV 199 0...

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SAS/ETS 9.22 User''''s Guide 12 ppt

SAS/ETS 9.22 User''''s Guide 12 ppt

... OCT 199 0 133 .5 132 .7 0.8 6 NOV 199 0 133 .8 133 .5 0 .3 7 DEC 199 0 133 .8 133 .8 0.0 8 JAN 199 1 134 .6 133 .8 0.8 9 FEB 199 1 134 .8 134 .6 0.2 10 MAR 199 1 135 .0 134 .8 0.2 11 APR 199 1 135 .2 135 .0 0.2 12 MAY 199 1 135 .6 ... 3. 16 USCPI Data Set with Lagged and Differenced Series Plot of USCPI Data Obs date cpi cpilag cpidif 1 JUN 199 0 1 29. 9 . . 2 JUL 199 0 130 .4 1 29. 9 0.5...

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SAS/ETS 9.22 User''''s Guide 13 pptx

SAS/ETS 9.22 User''''s Guide 13 pptx

... New_York 1 JAN90 128.1 132 .1 135 .1 2 FEB90 1 29. 2 133 .6 135 .3 3 MAR90 1 29. 5 134 .5 136 .6 4 APR90 130 .4 134 .2 137 .3 5 MAY90 130 .4 134 .6 137 .2 6 JUN90 131 .7 135 .0 137 .1 7 JUL90 132 .0 135 .6 138 .4 The following ... 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...

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SAS/ETS 9.22 User''''s Guide 19 pptx

SAS/ETS 9.22 User''''s Guide 19 pptx

... 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 for small- to medium-sized problems, ... 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...

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SAS/ETS 9.22 User''''s Guide 20 pptx

SAS/ETS 9.22 User''''s Guide 20 pptx

... 456); x3 = 2 * rannor(1456); e1 = rannor(1456); e2 = rannor(4560); tmp1 = 0.5 * e1 - 0.1 * e2; tmp2 = -0.1 * e1 - 0 .3 * e2; y1 = 7 + 8.5 * x1 + 2 * x2 + tmp1; y2 = -3 + -2 * x1 + x2 + 3 * x3 + tmp2; output; end; run; filename ... Software, 7, 34 8 36 8. Dennis, J.E. and Mei, H.H.W. ( 197 9), “Two New Unconstrained Optimization Algorithms Which Use Function and Gradient Values,” J. Optim...

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SAS/ETS 9.22 User''''s Guide 31 ppt

SAS/ETS 9.22 User''''s Guide 31 ppt

... 1 .97 607 0.05 499 35 .94 <.0001 1 AR1,2 -1 .37 499 0. 099 67 - 13. 80 <.0001 2 AR1 ,3 0 .34 336 0.05502 6.24 <.0001 3 Constant Estimate -0.00682 Variance Estimate 0. 035 797 Std Error Estimate 0.1 892 AIC ... Shift MU 53. 32 25 6 0.0 492 6 1082.51 <.0001 0 y 0 NUM1 -0.56467 0 .224 05 -2.52 0.01 23 0 x 3 NUM1,1 0.426 23 0.46472 0 .92 0 .3 598 1 x 3 NUM1,2 0. 299 14 0...

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SAS/ETS 9.22 User''''s Guide 33 pptx

SAS/ETS 9.22 User''''s Guide 33 pptx

... Technometrics, 22, 3 89 39 6 . 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 ... 49, 53 66. Newton, H. Joseph and Pagano, Marcello ( 198 3) , “The Finite Memory Prediction of Covariance Stationary Time Series,” SIAM Journal of Scientific and Statistical Co...

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SAS/ETS 9.22 User''''s Guide 43 ppt

SAS/ETS 9.22 User''''s Guide 43 ppt

... Likelihood Estimates SSE 0.2 39 5 433 1 DFE 79 MSE 0.0 030 3 Root MSE 0.05507 SBC - 230 . 39 3 55 AIC -240.06 891 MAE 0.04016 596 AICC -2 39 . 556 09 MAPE 0. 694 58 594 HQC - 236 .181 89 Durbin-Watson 1 .99 35 Regress R-Square ... Estimates SSE 0.271076 73 DFE 80 MSE 0.0 03 39 Root MSE 0.05821 SBC -226 .77848 AIC - 231 . 591 92 MAE 0.0 433 3026 AICC - 231 .44002 MAPE 1 53. 637 587 HQC...

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