SAS/ETS 9 22 User''''''''s Guide 292 ppsx
SAS/ETS 9.22 User''''s Guide 292 ppsx
... called the random error. Equations for the Smoothing Models ✦ 290 7 For the additive version of Winters method (see Archibald 199 0), the additive-invertible region is fmax.p˛; 0/ < ı.1 ˛/ ... ˛/.1 cos.#/g where # is the smallest nonnegative solution to the equations listed in Archibald ( 199 0). The variance of the prediction errors is estimated as var.e t .k// D var. t / 2 4 1 C k1...
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SAS/ETS 9.22 User''''s Guide 6 ppsx
... (SAS/STAT User’s Guide) . For more information about the SAS Output Delivery system, refer to the SAS Output Delivery System: User’s Guide. Related SAS Software Many features not found in SAS/ETS software ... enable graphical output from SAS/ETS procedures, you must use the following statement in your SAS program. ods graphics on; The graphical output produced by many SAS/ETS procedu...
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SAS/ETS 9.22 User''''s Guide 11 ppsx
... max Consumer 1 29. 9 136.2 Price Index * * JUN 199 0 1 29. 90 |c | JUL 199 0 130.40 | c | AUG 199 0 131.60 | c | SEP 199 0 132.70 | c | OCT 199 0 133.50 | c | NOV 199 0 133.80 | c | DEC 199 0 133.80 | c | JAN 199 1 134.60 ... + P | + r | i 132 + c | + e | 131 + I | n | + d 130 + + e | x | 1 29 + + + + + + +- MAY 199 0 AUG 199 0 DEC 199 0 MAR 199 1 JUN 199 1 OCT 199 1 date Using PROC TIMEP...
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SAS/ETS 9.22 User''''s Guide 64 ppsx
... 10010 796 7 98 09 3 3840 17AUG 199 5 4 127 095 10 10010 796 7 98 09 3 3840 18AUG 199 5 5 127 095 10 10010 796 7 98 09 3 3840 21AUG 199 5 6 127 095 10 10010 796 7 98 09 3 3840 22AUG 199 5 7 127 095 10 10010 796 7 98 09 3 3840 ... 23AUG 199 5 8 127 095 10 10010 796 7 98 09 3 3840 24AUG 199 5 9 127 095 10 10010 796 7 98 09 3 3840 25AUG 199 5 10 127 095 10 10010 796 7 98 09 3 38...
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SAS/ETS 9.22 User''''s Guide 68 ppsx
... Measures Objective Function Value 9. 553 699 Signal Entropy 9. 5 694 84 Noise Entropy -0.01578 Normed Entropy (Signal) 0 .99 097 6 Normed Entropy (Noise) 0 .99 9786 Parameter Information Index 0.0 090 24 Error Information ... RIDGE test_score 0 .9 . 3. 196 79 9.6 698 teach_ prcnt_ socio_ teach_ test_ Obs sal prof stat score mom_ed score 1 -1. 698 54 0.085118 0.66617 1.18400 -4.06675 -1...
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SAS/ETS 9.22 User''''s Guide 103 ppsx
... the functions of the parameters to the OUTEST= data set ESTIMATE OUTCOV Functional Summary ✦ 10 19 Description Statement Option specify the convergence criteria SOLVE CONVERGE= compute a simultaneous ... information about ODS Graphics, see Chapter 21, “Statistical Graphics Using ODS” (SAS/STAT User’s Guide) . The global-plot-options apply to all relevant plots generated by the MODEL procedu...
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SAS/ETS 9.22 User''''s Guide 110 ppsx
... 20 0.33 39 0.3282 2 10.7 599 3 0 .99 433 0.83 096 OLS 2 20 0.3244 0.3233 1 10.46 894 1.31205 0.66810 OLS 3 20 0.3151 0.3 197 1 10.11707 1. 691 49 0.54626 OLS 4 20 0.2764 0.3110 1 9. 74 691 2.08 492 0.46615 OLS ... 0.70000 GRID 0 20 0.70 79 0.5843 0 10.41027 1.36141 0.50000 GRID 1 20 0.0000 0. 291 5 0 9. 693 19 2.13103 0.50000 GRID 0 20 0.7747 0.7175 0 9. 693 19 2.13103 0.30000 GRID 1...
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SAS/ETS 9.22 User''''s Guide 117 ppsx
... -7.0 797 0. 292 10 99 .177 14 3SLS PREDICT 1 2.23607 -7.0 797 -0.53732 92 .201 15 3SLS RESIDUAL 1 2.23607 -7.0 797 0.8 294 2 6 .97 6 16 3SLS ACTUAL 1 2.4 494 9 14.5284 1.86 898 423.634 17 3SLS PREDICT 1 2.4 494 9 14.5284 ... _ _ _ 1 2 1 2 2 1 1 3SLS 0 Converged 50 0 022 296 07 -1.25002 0.025827 1 .99 6 09 49. 81 19 -0.44533 2 GMM 0 Converged 50 001772 196 -1.02345 0.014025 1 .99 726 49....
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SAS/ETS 9.22 User''''s Guide 121 ppsx
... Forecast Observation 1 Iteration 0 CC 61 396 1. 39 ERROR.y -62.01010 Predicted Values y 0.0001000 Iteration Errors y -62.01010 Observation 1 Iteration 1 CC 50 .90 2771 ERROR.y -61.88684 Predicted Values y -1.215784 Iteration ... variable step-size backward difference scheme; for more detailed information, see Aiken ( 198 5) and Byrne and Hindmarsh ( 197 5). The step size or time step is chos...
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SAS/ETS 9.22 User''''s Guide 128 ppsx
... |t| qf 2.0413E8 681443 299 .55 <.0001 qb 4 .226 3E9 91 33 195 462.74 <.0001 k2f 6451186 86 699 8 7.44 <.0001 k2r 0.007808 0.00103 7.55 <.0001 l -5.7 697 4 0.4138 -13 .94 <.0001 Example 18.11: ... 0.0000000001 0.0 091 2 0.5 0.0000000002 0.03 091 1.0 0.0000000003 0.064 19 1.5 0.0000000004 0.110 19 2.0 0.0000000005 0.16 398 2.5 0.0000000006 0.23048 3.0 0.0000000007 0.305 29 3....
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