SAS/ETS 9 22 User''''''''s Guide 152 ppt

... 187. 496 09 * 197 . 496 09 * 198 .134 39 * 210.52 194 * 0.6 899 1 * Burr 190 . 691 54 202. 691 54 203. 594 76 218. 3225 6 0.72348 Gamma 188 .91 483 198 .91 483 199 .55313 211 .94 0 69 0. 691 01 All Fit Statistics Table Distribution AD CvM Logn 0.74 299 0.11044 Burr ... statistics. Figure 22. 13 Comparison of Statistics of Fit for the Regression Example All Fit Statistics Table -2 Log...

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... SAS 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 8-1-60764-543-6 All rights ... . . . . . . . . . 28 89 V SAS/ETS Model Editor (Experimental) 292 3 Chapter 47. SAS/ETS Model Editor Window Reference . . . . . . . . . . . . 292 5 VI Investment Analysis...

Ngày tải lên: 02/07/2014, 14:21

... 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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... 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...

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... cpidif 1 JUN 199 0 1 29. 9 . . 2 JUL 199 0 130.4 1 29. 9 0.5 3 AUG 199 0 131.6 130.4 1.2 4 SEP 199 0 132.7 131.6 1.1 5 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 ... 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 1 135.6 135.2 0.4 13 JUN 199 1 136.0 135.6 0.4...

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... 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...

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... 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...

Ngày tải lên: 02/07/2014, 14:21

... 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...

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... Approx Parameter Estimate Error t Value Pr > |t| Lag MU -0. 1228 0 0.1 090 2 -1.13 0.26 09 0 AR1,1 1 .97 607 0.05 499 35 .94 <.0001 1 AR1,2 -1.37 499 0. 099 67 -13.80 <.0001 2 AR1,3 0.34336 0.05502 6.24 <.0001 ... |t| Lag Variable Shift MU 53. 3225 6 0.0 492 6 1082.51 <.0001 0 y 0 NUM1 -0.56467 0 .224 05 -2.52 0.0123 0 x 3 NUM1,1 0.42623 0.46472 0 .92 0.3 598 1 x 3 NUM1,2 0. 2...

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... 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....

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