SAS for Linear Models, Fourth Edition

Chapter 4 Analyzing Data with Random Effects

4.1 Introduction

4.2 Nested Classifications

4.2.1 Analysis of Variance for Nested Classifications

4.2.2 Computing Variances of Means from Nested Classifications and Deriving Optimum Sampling Plans

4.2.3 Analysis of Variance for Nested Classifications: Using Expected Mean Squares to Obtain Valid Tests of Hypotheses

4.2.4 Variance Component Estimation for Nested Classifications: Analysis Using PROC MIXED

4.2.5 Additional Analysis of Nested Classifications Using PROC MIXED: Overall Mean and Best Linear Unbiased Prediction

4.3 Blocked Designs with Random Blocks

4.3.1 Random-Blocks Analysis Using PROC MIXED

4.3.2 Differences between GLM and MIXED Randomized-Complete-Blocks Analysis: Fixed versus Random ...