SAS/ETS 9.22 User''''s Guide 73 doc
... 0.8627 7 .92 <.0001 bc 0.11 390 8 0. 094 1 1.21 0.2435 bd -7.68105 0 .90 53 -8.48 <.0001 cd 0.00002 0.000364 0.05 0 .95 69 abc -0.14876 0.1087 -1.37 0. 190 0 abd -0.0 399 0.0516 -0.77 0.45 09 acd 0.46 693 8 ... > |t| x1 1. 195 688 0.1078 11. 09 <.0001 x2 1.84 490 3 0.1018 18.12 <.0001 x3 3.268 396 0.1136 28.77 <.0001 x4 3 .90 8 194 0. 093 4 41.83 <.0001 intercept -4 .9...
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SAS/ETS 9.22 User''''s Guide 2 doc
... prior to SAS/ETS 9. 2 can find information about the SAS/ETS 9. 2 changes and enhancements in the chapter “What’s New in SAS/ETS in the SAS/ETS 9. 2 User’s Guide (see support.sas.com/whatsnewets92). AUTOREG ... of interest to SAS/ETS users. For more information, see SAS Language Reference: Dictionary. Highlights of Enhancements in SAS/ETS 9. 2 Users who are updating directly t...
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SAS/ETS 9.22 User''''s Guide 21 doc
... 6 <.0001 0 .95 7 0 .90 7 0.852 0. 791 0.726 0.6 59 12 547.82 12 <.0001 0.588 0.514 0.440 0.370 0.303 0.238 18 554.70 18 <.0001 0.174 0.112 0.052 -0.004 -0.054 -0. 098 24 585 .73 24 <.0001 ... Differencing 1 Mean of Working Series 0.6605 89 Standard Deviation 2.011543 Number of Observations 99 Observation(s) eliminated by differencing 1 192 ... . . . . . 224 Syntax: ARIM...
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SAS/ETS 9.22 User''''s Guide 26 doc
... invertible ARMA process. Note that Hannan and Rissannen ( 198 2) proposed this method, and Box, Jenkins, and Reinsel ( 199 4) and Choi ( 199 2) provide useful descriptions of the algorithm. Given a ... stationary or nonstationary ARMA process. Tsay and Tiao ( 198 5) proposed the technique, and Box, Jenkins, and Reinsel ( 199 4) and Choi ( 199 2) provide useful descriptions of the algorithm. G...
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SAS/ETS 9.22 User''''s Guide 27 doc
... Davis ( 199 1). The prediction of stationary ARMA processes is explained in Chapter 5, and the prediction of nonstationary ARMA processes is given in Chapter 9 of Brockwell and Davis ( 199 1). Infinite ... statistic are given by Davies, Triggs, and Newbold ( 197 7) and by Ljung and Box ( 197 8). When the time series has missing values, Stoffer and Toloi ( 199 2) suggest a modification of this...
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SAS/ETS 9.22 User''''s Guide 32 docx
... 4.3370 223 3.3147 0.8244 1. 698 9 4 .93 06 224 3.4787 0.8244 1.86 29 5. 094 6 225 2 .94 05 0.8244 1.3247 4.5564 226 2.3587 0.8244 0.74 29 3 .97 46 227 1.8588 0.8244 0.24 29 3.4746 228 1.2 898 0.8244 -0.3260 2 .90 57 Example ... <.0001 0. 597 4 0.4 622 0 .91 98 0.4 292 0.8768 AR 2 <.0001 0.0002 0.6106 0 .91 82 0.5683 0.8 592 AR 3 <.0001 0 .90 22 0.2400 0.8713 0. 893 0 0 ....
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SAS/ETS 9.22 User''''s Guide 37 doc
... Refer to Phillips and Ouliaris ( 199 0) or Hamilton ( 199 4, Tbl. 19. 1) for information about the Phillips-Ouliaris cointegration test. Note that Hamilton ( 199 4, Tbl. 19. 1) uses Z and Z t instead ... practically useful (Davidson and MacKinnon 199 3, page 721), and therefore are computed and reported. The test statistic, as shown in Phillips and Ouliaris ( 199 0), follows the same distri...
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SAS/ETS 9.22 User''''s Guide 49 doc
... initializing values. For example, the following statement assigns 500 to JAN and 90 0 to JUL: init sales jan 500 +5 90 0; 480 ✦ Chapter 9: The COMPUTAB Procedure See the sections “Program Flow Example” on ... 1, 2; B has values 1, 2; and C has values 1, 2, 3. Table 9. 2 indicates the consolidation tables produced by the SUMBY statement. Table 9. 2 Consolidation Tables Produced by the SUM...
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SAS/ETS 9.22 User''''s Guide 56 docx
... 9. 0000000 sex 5 190 0.5206166 0. 499 62 29 0 1.0000000 age 5 190 0.4063854 0.2047818 0. 190 0000 0.7200000 illness 5 190 1.43 198 46 1.3841524 0 5.0000000 income 5 190 0.5831 599 0.36 890 67 0 1.5000000 hscore 5 190 1.2175337 ... Pr > |t| Intercept 1 -1.033387 0. 096 973 -10.66 <.0001 sex 1 0. 1225 11 0.062566 1 .96 0.0502 illness 1 0.237478 0.0 199 97 11.88 <.0001 income 1 -0.14...
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SAS/ETS 9.22 User''''s Guide 62 docx
... 0000 1 MAR 198 9 16 2 5 2580 7 0000 1 APR 198 9 16 3 5 2580 7 0000 1 MAY 198 9 16 4 5 2580 7 0000 1 JUN 198 9 16 5 5 2580 7 0000 1 JUL 198 9 16 6 5 2580 7 0000 1 AUG 198 9 16 7 5 2580 7 0000 1 SEP 198 9 16 8 5 ... 198 2-84=100 JUL 198 9 14 39 12 CU U North Central Region S 198 2-84=100 AUG 198 9 1452 13 CU U North Central Region S 198 2-84=100 SEP 198 9 1460 14 CU U North Central Region S 19...
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