An Introduction to Generalized Linear Models van Annette J. Dobson, Adrian G. Barnett is een Engelstalig gedrukt boek. Deze titel is geschikt voor studenten in het hoger onderwijs.
An Introduction to Generalized Linear Models, Fourth Edition provides a cohesive framework for statistical modelling, with an emphasis on numerical and graphical methods. This new edition of a bestseller has been updated with new sections on non-linear associations, strategies for model selection, and a Postface on good statistical practice. Like its predecessor, this edition presents the theoretical background of generalized linear models (GLMs) before focusing on methods for analyzing particular kinds of data. It covers Normal, Poisson, and Binomial distributions; linear regression models; classical estimation and model fitting methods; and frequentist methods of statistical inference. After forming this foundation, the authors explore multiple linear regression, analysis of variance (ANOVA), logistic regression, log-linear models, survival analysis, multilevel modeling, Bayesian models, and Markov chain Monte Carlo (MCMC) methods.
Inhoudelijk sluit dit boek aan bij onderwerpen als Probability and statistics, Social research and statistics, MATHEMATICS / Probability & Statistics / Regression Analysis.
Serie: Chapman & Hall/CRC Texts in Statistical Science