An accessible and self-contained introduction to statistical models-now in a modernized new edition Generalized, Linear, and Mixed Models, Second Edition provides an up-to-date treatment of the essential techniques for developing and applying a wide variety of statistical models. The book presents thorough and unified coverage of the theory behind generalized, linear, and mixed models and highlights their similarities and differences in various construction, application, and computational aspects. A clear ...
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An accessible and self-contained introduction to statistical models-now in a modernized new edition Generalized, Linear, and Mixed Models, Second Edition provides an up-to-date treatment of the essential techniques for developing and applying a wide variety of statistical models. The book presents thorough and unified coverage of the theory behind generalized, linear, and mixed models and highlights their similarities and differences in various construction, application, and computational aspects. A clear introduction to the basic ideas of fixed effects models, random effects models, and mixed models is maintained throughout, and each chapter illustrates how these models are applicable in a wide array of contexts. In addition, a discussion of general methods for the analysis of such models is presented with an emphasis on the method of maximum likelihood for the estimation of parameters. The authors also provide comprehensive coverage of the latest statistical models for correlated, non-normally distributed data. Thoroughly updated to reflect the latest developments in the field, the Second Edition features: A new chapter that covers omitted covariates, incorrect random effects distribution, correlation of covariates and random effects, and robust variance estimation A new chapter that treats shared random effects models, latent class models, and properties of models A revised chapter on longitudinal data, which now includes a discussion of generalized linear models, modern advances in longitudinal data analysis, and the use between and within covariate decompositions Expanded coverage of marginal versus conditional models Numerous new and updated examples With its accessible style and wealth of illustrative exercises, Generalized, Linear, and Mixed Models , Second Edition is an ideal book for courses on generalized linear and mixed models at the upper-undergraduate and beginning-graduate levels. It also serves as a valuable reference for applied statisticians, industrial practitioners, and researchers.
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Add this copy of Generalized, Linear, and Mixed Models to cart. $3.27, good condition, Sold by Jenson Books Inc rated 4.0 out of 5 stars, ships from Logan, UT, UNITED STATES, published 2001 by Wiley-Interscience.
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Add this copy of Generalized, Linear, and Mixed Models (Wiley Series in to cart. $9.00, fair condition, Sold by Bookmans rated 4.0 out of 5 stars, ships from Tucson, AZ, UNITED STATES, published 2001 by Wiley-Interscience.
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Good. Exact ISBN match. Immediate shipping. No funny business. Pics available upon request. Glued binding. Paper over boards. 424 p. Contains: Illustrations, black & white, Line drawings, black & white. Wiley Probability and Statistics.
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This is an ex-library book and may have the usual library/used-book markings inside. This book has hardback covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item, 750grams, ISBN: 9780471193647.
Add this copy of Generalized, Linear, and Mixed Models to cart. $35.00, like new condition, Sold by T A Borden Books rated 4.0 out of 5 stars, ships from Olney, MD, UNITED STATES, published 2001 by Wiley-Interscience.
Add this copy of Generalized, Linear, and Mixed Models (Wiley Series in to cart. $41.70, good condition, Sold by Bonita rated 4.0 out of 5 stars, ships from Newport Coast, CA, UNITED STATES, published 2001 by Wiley-Interscience.
