Download An Introduction to Generalized Linear Models, Third Edition by Annette J. Dobson,Adrian Barnett PDF

By Annette J. Dobson,Adrian Barnett

carrying on with to stress numerical and graphical tools, An creation to Generalized Linear versions, 3rd Edition offers a cohesive framework for statistical modeling. This new version of a bestseller has been up to date with Stata, R, and WinBUGS code in addition to 3 new chapters on Bayesian research.

Like its predecessor, this variation provides the theoretical history of generalized linear types (GLMs) ahead of targeting tools for examining specific types of information. 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 available textual content illustrates sensible ways to estimation, version becoming, and version comparisons. It comprises examples and routines with whole info units for almost all of the types covered.

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By Annette J. Dobson,Adrian Barnett

carrying on with to stress numerical and graphical tools, An creation to Generalized Linear versions, 3rd Edition offers a cohesive framework for statistical modeling. This new version of a bestseller has been up to date with Stata, R, and WinBUGS code in addition to 3 new chapters on Bayesian research.

Like its predecessor, this variation provides the theoretical history of generalized linear types (GLMs) ahead of targeting tools for examining specific types of information. 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 available textual content illustrates sensible ways to estimation, version becoming, and version comparisons. It comprises examples and routines with whole info units for almost all of the types covered.

Show description

Read Online or Download An Introduction to Generalized Linear Models, Third Edition (Chapman & Hall/CRC Texts in Statistical Science) PDF

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