Generalized Linear Models, Dey, Dipak K.

Название: Generalized Linear Models
ISBN: 0367398605 ISBN-13(EAN): 9780367398606
Издательство: Taylor&Francis
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Цена: 65320.00 T
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Описание: This volume describes how to conceptualize, perform, and critique traditional generalized linear models (GLMs) from a Bayesian perspective and how to use modern computational methods to summarize inferences using simulation. Introducing dynamic modeling for GLMs and containing over 1000 references and equations, Generalized Linear Models considers parametric and semiparametric approaches to overdispersed GLMs, presents methods of analyzing correlated binary data using latent variables. It also proposes a semiparametric method to model link functions for binary response data, and identifies areas of important future research and new applications of GLMs.

Автор: Dobson
Название: An Introduction to Generalized Linear Models
ISBN: 113874168X ISBN-13(EAN): 9781138741683
Издательство: Taylor&Francis
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Цена: 168430.00 T
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Описание: 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.

Автор: Berridge, Damon Mark
Название: Multivariate Generalized Linear Mixed Models Using R
ISBN: 1439813264 ISBN-13(EAN): 9781439813263
Издательство: Taylor&Francis
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Цена: 102080.00 T
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Автор: Tango, Toshiro
Название: Repeated Measures Design with Generalized Linear Mixed Models for Randomized Controlled Trials
ISBN: 0367736381 ISBN-13(EAN): 9780367736385
Издательство: Taylor&Francis
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Цена: 50010.00 T
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Автор: Alan Agresti
Название: Foundations of Linear and Generalized Linear Models
ISBN: 1118730038 ISBN-13(EAN): 9781118730034
Издательство: Wiley
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Цена: 111880.00 T
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Описание: A valuable overview of the most important ideas and results in statistical modeling Written by a highly-experienced author, Foundations of Linear and Generalized Linear Models is a clear and comprehensive guide to the key concepts and results of linearstatistical models.

Автор: Dobson, Annette J. (university Of Queensland, Herston, Australia) Barnett, Adrian (queensland University Of Technology, Kelvin Grove, Australia)
Название: Introduction to generalized linear models, fourth edition
ISBN: 1138741515 ISBN-13(EAN): 9781138741515
Издательство: Taylor&Francis
Рейтинг:
Цена: 38720.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.

Автор: Gill, Jefferson M. Torres Pacheco, Silvia Michelle
Название: Generalized linear models
ISBN: 1506387349 ISBN-13(EAN): 9781506387345
Издательство: Sage Publications
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Цена: 39060.00 T
Наличие на складе: Поставка под заказ.
Описание: Explaining the theoretical underpinning of generalized linear models, this text enables researchers to decide how to select the best way to adapt their data for this type of analysis, with examples to illustrate the application of GLM.

Автор: Jiang Jiming, Nguyen Thuan
Название: Linear and Generalized Linear Mixed Models and Their Applications
ISBN: 1071612816 ISBN-13(EAN): 9781071612811
Издательство: Springer
Цена: 111790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers two major classes of mixed effects models, linear mixed models and generalized linear mixed models. Furthermore, it includes recently developed methods, such as mixed model diagnostics, mixed model selection, and jackknife method in the context of mixed models.

Автор: Robert Gilchrist; Brian Francis; Joe Whittaker
Название: Generalized Linear Models
ISBN: 0387962247 ISBN-13(EAN): 9780387962245
Издательство: Springer
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Цена: 111790.00 T
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Автор: Lee, Youngjo Ronnegard, Lars Noh, Maengseok
Название: Data analysis using hierarchical generalized linear models with r
ISBN: 0367657929 ISBN-13(EAN): 9780367657925
Издательство: Taylor&Francis
Рейтинг:
Цена: 48990.00 T
Наличие на складе: Нет в наличии.
Описание: Since their introduction, hierarchical generalized linear models (HGLMs) have proven useful in various fields by allowing random effects in regression models. Interest in the topic has grown, and various practical analytical tools have been developed. This book summarizes developments within the field and, using data examples, illustrates how to

Автор: McCullagh, P.
Название: Generalized Linear Models
ISBN: 0412317605 ISBN-13(EAN): 9780412317606
Издательство: Taylor&Francis
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Цена: 148010.00 T
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Автор: Boeck Paul De
Название: Explanatory Item Response Models
ISBN: 1441923233 ISBN-13(EAN): 9781441923233
Издательство: Springer
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Цена: 144410.00 T
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Описание: This edited volume gives a new and integrated introduction to item response models (predominantly used in measurement applications in psychology, education, and other social science areas) from the viewpoint of the statistical theory of generalized linear and nonlinear mixed models.