Chapter 6 – Key Components of (Generalized) Linear Models: Statistical Distributions and the Linear Predictor
Chapter 6 – Key Components of (Generalized) Linear Models: Statistical Distributions and the Linear Predictor
M. Kéry
2010 · DOI: 10.1016/B978-0-12-378605-0.00006-5
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TLDR
This chapter presents linear models in a progression from simple to complex by reviewing the two key components of linear statistical models: statistical distributions and the linear predictor, which is represented by the product of the design matrix and the parameter vector.