| Random Effects Models | 3 |
3.1 Introduction: Descriptions of Random Effects Models
3.1.1 Using PROC MIXED to Estimate the Variance Components
3.1.2 The Mixed Model Equations
3.1.3 Method of Moments Estimators Using PROC MIXED
3.2 Example: One-Way Random Effects Treatment Structure
3.2.1 Using the MIXED Procedure
3.2.3 Confidence Intervals about the Variance Components
3.3 Example: A Simple Conditional Hierarchical Linear Model
3.3.1 Using PROC MIXED to Analyze the Data
3.3.2 PROC GLM Part of the Analysis
3.4 Example: Three-Level Nested Design Structure
3.4.1 Three-Level Nested Linear Model, an Unconditional Hierarchical Nested Linear Model
3.4.2 Data Analysis Using the PROC MIXED METHOD=REML to Estimate the Variance ...
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