The SAS System 1 15:25 Thursday, January 13, 2011 The GLM Procedure Class Level Information Class Levels Values field 15 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 section 30 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 Number of Observations Read 36 Number of Observations Used 36 The SAS System 2 15:25 Thursday, January 13, 2011 The GLM Procedure Dependent Variable: porosity Sum of Source DF Squares Mean Square F Value Pr > F Model 29 25.96892900 0.89548031 0.61 0.8275 Error 6 8.79886300 1.46647717 Corrected Total 35 34.76779200 R-Square Coeff Var Root MSE porosity Mean 0.746925 27.52440 1.210982 4.399667 Source DF Type I SS Mean Square F Value Pr > F field 14 14.17773533 1.01269538 0.69 0.7348 section(field) 15 11.79119367 0.78607958 0.54 0.8468 Source DF Type III SS Mean Square F Value Pr > F field 14 14.17773533 1.01269538 0.69 0.7348 section(field) 15 11.79119367 0.78607958 0.54 0.8468 The SAS System 3 15:25 Thursday, January 13, 2011 The GLM Procedure Source Type III Expected Mean Square field Var(Error) + 1.1905 Var(section(field)) + 2.377 Var(field) section(field) Var(Error) + 1.2 Var(section(field)) The SAS System 4 15:25 Thursday, January 13, 2011 Variance Components Estimation Procedure Class Level Information Class Levels Values field 15 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 section 30 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 Number of Observations Read 36 Number of Observations Used 36 Dependent Variable: porosity Type 1 Analysis of Variance Sum of Source DF Squares Mean Square field 14 14.177735 1.012695 section(field) 15 11.791194 0.786080 Error 6 8.798863 1.466477 Corrected Total 35 34.767792 Type 1 Analysis of Variance Source Expected Mean Square field Var(Error) + 1.1905 Var(section(field)) + 2.377 Var(field) section(field) Var(Error) + 1.2 Var(section(field)) Error Var(Error) Corrected Total Type 1 Estimates Variance Component Estimate Var(field) 0.09307 Var(section(field)) -0.56700 Var(Error) 1.46648 The SAS System 5 15:25 Thursday, January 13, 2011 The Mixed Procedure Model Information Data Set WORK.ONE Dependent Variable porosity Covariance Structure Variance Components Estimation Method REML Residual Variance Method Profile Fixed Effects SE Method Model-Based Degrees of Freedom Method Containment Class Level Information Class Levels Values field 15 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 section 30 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 Dimensions Covariance Parameters 3 Columns in X 1 Columns in Z 45 Subjects 1 Max Obs Per Subject 36 Number of Observations Number of Observations Read 36 Number of Observations Used 36 Number of Observations Not Used 0 Iteration History Iteration Evaluations -2 Res Log Like Criterion 0 1 102.67623455 1 3 102.59307119 0.00000003 2 1 102.59307062 0.00000000 The SAS System 6 15:25 Thursday, January 13, 2011 The Mixed Procedure Convergence criteria met. Covariance Parameter Estimates Cov Parm Estimate field 0.04948 section(field) 0 Residual 0.9459 Fit Statistics -2 Res Log Likelihood 102.6 AIC (smaller is better) 106.6 AICC (smaller is better) 107.0 BIC (smaller is better) 108.0