By Annette J. Dobson,Adrian Barnett
Like its predecessor, this version provides the theoretical historical past of generalized linear versions (GLMs) sooner than concentrating on tools for examining specific different types of info. It covers common, Poisson, and binomial distributions; linear regression versions; classical estimation and version becoming equipment; 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) equipment.
Using renowned statistical software program courses, this concise and available textual content illustrates useful methods to estimation, version becoming, and version comparisons. It contains examples and routines with whole facts units for almost the entire versions covered.
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Additional 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