Chapter 6 Understanding Linear Models Concepts
6.2.1 The Simplest Case: A One-Way Classification
6.2.2 Parameter Estimates for a One-Way Classification
6.2.3 Using PROC GLM for Analysis of Variance
6.2.4 Estimable Functions in a One-Way Classification
6.3 Two-Way Classification: Unbalanced Data
6.3.2 Sums of Squares Computed by PROC GLM
6.3.3 Interpreting Sums of Squares in Reduction Notation
6.3.4 Interpreting Sums of Squares in the -Model Notation
6.3.5 An Example of Unbalanced Two-Way Classification
6.3.6 The MEANS, LSMEANS, CONTRAST, and ESTIMATE Statements in a Two-Way Layout
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