Doing Bayesian Data Analysis, 2nd Edition

Chapter 15

Overview of the Generalized Linear Model

Contents

15.1 Types of Variables   420

15.1.1 Predictor and predicted variables   420

15.1.2 Scale types: metric, ordinal, nominal, and count   421

15.2 Linear Combination of Predictors   423

15.2.1 Linear function of a single metric predictor   423

15.2.2 Additive combination of metric predictors   425

15.2.3 Nonadditive interaction of metric predictors   427

15.2.4 Nominal predictors   429

15.2.4.1 Linear model for a single nominal predictor   429

15.2.4.2 Additive combination of nominal predictors   430

15.2.4.3 Nonadditive interaction of nominal predictors   432

15.3 Linking from Combined Predictors to Noisy Predicted data   435

15.3.1 From predictors to predicted central tendency   435 ...