By Annette J. Dobson,Adrian Barnett
Like its predecessor, this version provides the theoretical history of generalized linear versions (GLMs) earlier than targeting tools for examining specific different types of information. It covers basic, Poisson, and binomial distributions; linear regression types; classical estimation and version becoming equipment; and frequentist equipment of statistical inference. After forming this origin, the authors discover a number of linear regression, research of variance (ANOVA), logistic regression, log-linear versions, survival research, multilevel modeling, Bayesian types, and Markov chain Monte Carlo (MCMC) equipment.
Using renowned statistical software program courses, this concise and available textual content illustrates sensible ways to estimation, version becoming, and version comparisons. It comprises examples and workouts with entire facts units for almost the entire versions 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