SAS for Mixed Models, Second Edition, 2nd Edition

Randomized Block Designs

2

2.1 Introduction

2.2 Mixed Model for a Randomized Complete Blocks Design

2.2.1 Means and Variances from Randomized Blocks Design

2.2.2 The Traditional Method: Analysis of Variance

2.2.3 Using Expected Mean Squares

2.2.4 Example: A Randomized Complete Blocks Design

2.3 Using PROC MIXED to Analyze RCBD Data

2.3.1 Basic PROC MIXED Analysis Based on Sums of Squares

2.3.2 Basic PROC MIXED Analysis Based on Likelihood

2.3.3 Estimating and Comparing Means: LSMEANS, ESTIMATE, and CONTRAST Statements

2.3.4 Multiple Comparisons and Multiple Tests about Means

2.3.4 Confidence Intervals for Variance Components

2.3.5 Comparison of PROC MIXED with PROC GLM for the RCBD Data

2.4 Introduction to Theory of Mixed Models