By Annette J. Dobson,Adrian Barnett
Like its predecessor, this variation provides the theoretical heritage of generalized linear types (GLMs) prior to targeting tools for reading specific sorts of facts. It covers general, Poisson, and binomial distributions; linear regression types; classical estimation and version becoming equipment; and frequentist equipment of statistical inference. After forming this starting place, the authors discover a number of linear regression, research of variance (ANOVA), logistic regression, log-linear types, survival research, multilevel modeling, Bayesian types, and Markov chain Monte Carlo (MCMC) tools.
Using renowned statistical software program courses, this concise and available textual content illustrates functional techniques to estimation, version becoming, and version comparisons. It contains examples and routines with entire information units for almost the entire versions covered.
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Extra resources 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