By Annette J. Dobson,Adrian Barnett
Like its predecessor, this version provides the theoretical heritage of generalized linear types (GLMs) ahead of concentrating on equipment for studying specific varieties of facts. It covers basic, Poisson, and binomial distributions; linear regression versions; classical estimation and version becoming tools; and frequentist equipment of statistical inference. After forming this beginning, the authors discover a number of linear regression, research of variance (ANOVA), logistic regression, log-linear versions, survival research, multilevel modeling, Bayesian versions, and Markov chain Monte Carlo (MCMC) tools.
Using well known statistical software program courses, this concise and obtainable textual content illustrates sensible ways to estimation, version becoming, and version comparisons. It comprises examples and workouts with whole 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