Generalized Linear Models: With Applications in Engineering and the Sciences by Raymond H. Myers, Douglas C. Montgomery, G. Geoffrey Vining, Timothy J. Robinson
Requirements: .PDF reader, 8.9 MB
Overview: Praise for the First Edition “The obvious enthusiasm of Myers, Montgomery, and Vining andtheir reliance on their many examples as a major focus of theirpedagogy make Generalized Linear Models a joy to read. Everystatistician working in any area of applied science should buy itand experience the excitement of these new approaches to familiaractivities.”
–Technometrics
Generalized Linear Models: With Applications in Engineeringand the Sciences, Second Edition continues to provide a clearintroduction to the theoretical foundations and key applications ofgeneralized linear models (GLMs). Maintaining the same nontechnicalapproach as its predecessor, this update has been thoroughlyextended to include the latest developments, relevant computationalapproaches, and modern examples from the fields of engineering andphysical sciences.
This new edition maintains its accessible approach to the topicby reviewing the various types of problems that support the use ofGLMs and providing an overview of the basic, related concepts suchas multiple linear regression, nonlinear regression, least squares, and the maximum likelihood estimation procedure. Incorporating thelatest developments, new features of this Second Editioninclude:
A new chapter on random effects and designs for GLM
A thoroughly revised chapter on logistic and Poisson regression, now with additional results on goodness of fit testing, nominal andordinal responses, and overdispersion
A new emphasis on GLM design, with added sections on designs forregression models and optimal designs for nonlinear regressionmodels
Genre: Non-Fiction > Educational › Science & Math › Mathematics
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