By Annette J. Dobson,Adrian Barnett
Like its predecessor, this variation offers the theoretical heritage of generalized linear versions (GLMs) ahead of concentrating on tools for examining specific types of facts. It covers general, Poisson, and binomial distributions; linear regression types; classical estimation and version becoming tools; and frequentist tools of statistical inference. After forming this origin, the authors discover a number of linear regression, research of variance (ANOVA), logistic regression, log-linear types, survival research, multilevel modeling, Bayesian versions, and Markov chain Monte Carlo (MCMC) tools.
Using renowned statistical software program courses, this concise and obtainable textual content illustrates functional ways to estimation, version becoming, and version comparisons. It contains examples and routines with entire info units for almost the entire types covered.
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Extra info for An Introduction to Generalized Linear Models, Third Edition (Chapman & Hall/CRC Texts in Statistical Science)
An Introduction to Generalized Linear Models, Third Edition (Chapman & Hall/CRC Texts in Statistical Science) by Annette J. Dobson,Adrian Barnett