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Illustrations of R code to perform GLM analysis
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Incorporating the latest developments, new features of this Second Edition include:Ī new chapter on random effects and designs for GLMsĪ thoroughly revised chapter on logistic and Poisson regression, now with additional results on goodness of fit testing, nominal and ordinal responses, and overdispersionĪ new emphasis on GLM design, with added sections on designs for regression models and optimal designs for nonlinear regression modelsĮxpanded discussion of weighted least squares, including examples that illustrate how to estimate the weights This new edition maintains its accessible approach to the topic by reviewing the various types of problems that support the use of GLMs and providing an overview of the basic, related concepts such as multiple linear regression, nonlinear regression, least squares, and the maximum likelihood estimation procedure. Maintaining the same nontechnical approach as its predecessor, this update has been thoroughly extended to include the latest developments, relevant computational approaches, and modern examples from the fields of engineering and physical sciences. Generalized Linear Models: With Applications in Engineering and the Sciences, Second Edition continues to provide a clear introduction to the theoretical foundations and key applications of generalized linear models (GLMs). Every statistician working in any area of applied science should buy it and experience the excitement of these new approaches to familiar activities.» -Technometrics
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Praise for the First Edition «The obvious enthusiasm of Myers, Montgomery, and Vining and their reliance on their many examples as a major focus of their pedagogy make Generalized Linear Models a joy to read.