f7 - -2 Res Log Likelihood 86.8 AIC (smaller is better)...

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Example F7 SAS Program data auto; input driver 1. @; do car= 1 to 5 ; input mpg @; output ; end ; datalines ; 1 25.3 28.9 24.8 28.4 27.1 1 25.2 30.0 25.1 27.9 26.6 2 33.6 36.7 31.7 35.6 33.7 2 32.9 36.5 31.9 35.0 33.9 3 27.7 30.7 26.9 29.7 29.2 3 28.5 30.4 26.3 30.2 28.9 4 29.2 32.4 27.7 31.8 30.3 4 29.3 32.4 28.9 30.7 29.9 ; run ; proc mixed data =auto noinfo noitprint covtest cl ; class driver car; model mpg = / solution ; random driver car driver*car; run ;
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SAS Output The SAS System 1 The Mixed Procedure Class Level Information Class Levels Values driver 4 1 2 3 4 car 5 1 2 3 4 5 Covariance Parameter Estimates Standard Z Cov Parm Estimate Error Value Pr Z Alpha Lower Upper driver 9.3224 7.6284 1.22 0.1108 0.05 2.9864 130.79 car 2.9343 2.0929 1.40 0.0805 0.05 1.0464 24.9038 driver*car 0.01406 0.05004 0.28 0.3893 0.05 0.001345 3.592E17 Residual 0.1757 0.05558 3.16 0.0008 0.05 0.1029 0.3665 Fit Statistics
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Unformatted text preview: -2 Res Log Likelihood 86.8 AIC (smaller is better) 94.8 AICC (smaller is better) 96.0 BIC (smaller is better) 92.3 Solution for Fixed Effects Standard Effect Estimate Error DF t Value Pr > |t| Intercept 30.0475 1.7096 3 17.58 0.0004 SAS Data step for calculating a 95% confidence interval for 2 A data ; alpha= .05 ; s2= 9.3224 ; ses2= 7.6284 ; z=s2/ses2; nu= 2 *z** 2 ; L= (nu*s2)/cinv( 1-alpha/ 2 ,nu); U= (nu*s2)/cinv(alpha/ 2 ,nu); put z= nu= L= U=; run ; The output of this code as it appears on the SAS Log page: 1 data; 2 alpha=.05; s2= 9.3224; ses2= 7.6284; 3 z=s2/ses2; 4 nu=2*z**2; 5 L= (nu*s2)/cinv(1-alpha/2,nu); 6 U= (nu*s2)/cinv(alpha/2,nu); 7 put z= nu= L= U=; 8 run; z=1.2220649153 nu=2.9868853145 L=2.9863982777 U=130.78870621 NOTE: The data set WORK.DATA1 has 1 observations and 7 variables. NOTE: DATA statement used (Total process time):...
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f7 - -2 Res Log Likelihood 86.8 AIC (smaller is better)...

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