By Annette J. Dobson,Adrian Barnett
Like its predecessor, this version provides the theoretical history of generalized linear versions (GLMs) prior to targeting equipment for reading 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 starting place, 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 well known statistical software program courses, this concise and obtainable textual content illustrates useful ways to estimation, version becoming, and version comparisons. It comprises examples and routines with whole information units for almost the entire versions covered.
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