Generalized, Linear, and Mixed Models

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9780470073711: Generalized, Linear, and Mixed Models

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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1.

McCulloch, Charles E.; Searle, Shayle R.; Neuhaus, John M.
Editore: John Wiley & Sons (2012)
ISBN 10: 0470073713 ISBN 13: 9780470073711
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Descrizione libro John Wiley & Sons, 2012. Condizione libro: Brand New. Brand New Hardcover Textbook is still wrapped MINT in the plastic. Ship from Multiple Locations, including Malaysia, Singapore, and Thailand. Shipping should take from 3-4 business days within US, Canada, UK, and other EU countries, 2-3 business days within Australia, Japan, and Singapore; for faster processing time, please choose to ship with Expedite. Thank you for looking![3711sJWGeneralizLinearMixed]. Codice libro della libreria 978047007371188

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McCulloch, Charles E.; Searle, Shayle R.; Neuhaus, John M.
Editore: John Wiley & Sons (2012)
ISBN 10: 0470073713 ISBN 13: 9780470073711
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Descrizione libro John Wiley & Sons, 2012. Condizione libro: Brand New. Brand New Hardcover Textbook is still wrapped MINT in the plastic. Ship from Multiple Locations, including Malaysia, Singapore, and Thailand. Shipping should take from 3-4 business days within US, Canada, UK, and other EU countries, 2-3 business days within Australia, Japan, and Singapore; for faster processing time, please choose to ship with Expedite. Thank you for looking![3711sJWGeneralizLinearMixed]. Codice libro della libreria 978047007371188

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McCulloch, Charles E.; Searle, Shayle R.; Neuhaus, John M.
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ISBN 10: 0470073713 ISBN 13: 9780470073711
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Descrizione libro John Wiley and Sons Ltd, United States, 2008. Hardback. Condizione libro: New. 2nd Revised edition. 234 x 158 mm. Language: English . Brand New Book. 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. Codice libro della libreria AAH9780470073711

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McCulloch, Charles E.; Searle, Shayle R.; Neuhaus, John M.
Editore: John Wiley and Sons Ltd, United States (2008)
ISBN 10: 0470073713 ISBN 13: 9780470073711
Nuovi Rilegato Quantità: 1
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Descrizione libro John Wiley and Sons Ltd, United States, 2008. Hardback. Condizione libro: New. 2nd Revised edition. 234 x 158 mm. Language: English . Brand New Book. 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. Codice libro della libreria AAH9780470073711

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McCulloch, Charles E.; Searle, Shayle R.; Neuhaus, John M.
Editore: Wileyand#8211;Blackwell (2008)
ISBN 10: 0470073713 ISBN 13: 9780470073711
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Descrizione libro Wileyand#8211;Blackwell, 2008. HRD. Condizione libro: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Codice libro della libreria FW-9780470073711

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Descrizione libro 2008. Hardcover. Condizione libro: New. 2nd. 161mm x 26mm x 235mm. Hardcover. 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 .Shipping may be from multiple locations in the US or from the UK, depending on stock availability. 384 pages. 0.699. Codice libro della libreria 9780470073711

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McCulloch, Charles E.; Searle, Shayle R.; Neuhaus, John M.
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ISBN 10: 0470073713 ISBN 13: 9780470073711
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Descrizione libro Wiley-Interscience, 2008. Hardcover. Condizione libro: Brand New. 2nd edition. 384 pages. 9.50x6.25x1.00 inches. In Stock. Codice libro della libreria zr0470073713

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McCulloch, Charles E.; Searle, Shayle R.; Neuhaus, John M.
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Descrizione libro Wiley-Interscience, 2008. Hardcover. Condizione libro: New. 2. Codice libro della libreria DADAX0470073713

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McCulloch, Charles E.; Searle, Shayle R.; Neuhaus, John M.
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Descrizione libro Wiley-Interscience, 2008. Hardcover. Condizione libro: New. book. Codice libro della libreria 0470073713

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McCulloch, Charles E.; Searle, Shayle R.; Neuhaus, John M.
ISBN 10: 0470073713 ISBN 13: 9780470073711
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Descrizione libro 2008. Hardcover. Condizione libro: New. 2nd. 161mm x 26mm x 235mm. Hardcover. An accessible and self-contained introduction to statistical models-now in a modernized new edition"Generalized, Linear, and Mixed Models, Second Edition" provides a.Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. 384 pages. 0.699. Codice libro della libreria 9780470073711

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