By Annette J. Dobson,Adrian Barnett
Like its predecessor, this version offers the theoretical history of generalized linear types (GLMs) prior to concentrating on equipment for studying specific varieties of facts. It covers general, Poisson, and binomial distributions; linear regression types; 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 types, and Markov chain Monte Carlo (MCMC) equipment.
Using well known statistical software program courses, this concise and obtainable textual content illustrates useful ways to estimation, version becoming, and version comparisons. It contains examples and routines with whole info units for almost all of the 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
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