An Introduction to Generalized Linear Models (Dobson & Barnett)
Annette J. Dobson and Adrian G. Barnett, An Introduction to Generalized
Linear Models, 4th edition, Chapman & Hall/CRC, 2018. The MATH5806 text:
exponential family, estimation and inference, normal linear models,
binomial and Poisson regression, contingency tables, survival analysis,
clustered and longitudinal data, Bayesian methods and MCMC. The book’s
datasets ship in the dobson R package.
Solutions to every exercise live at Solutions to Dobson & Barnett’s An Introduction to Generalized Linear Models.
Backlinks (2)
1. Solutions to Dobson & Barnett's An Introduction to Generalized Linear Models /words/library/books/an_introduction_to_generalized_linear_models/
Worked solutions in R to all 78 exercises in the fourth edition of Dobson & Barnett's An Introduction to Generalized Linear Models — exponential family theory, estimation and inference, normal linear models, binomial and Poisson regression, contingency tables, survival analysis, clustered and longitudinal data, and Bayesian analysis with MCMC.