Articles liés à An Introduction to Generalized Linear Models
Synopsis
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.
Like its predecessor, this edition presents the theoretical background of generalized linear models (GLMs) before focusing on methods for analyzing particular kinds of data. It covers Normal, Poisson, and Binomial distributions; linear regression models; classical estimation and model fitting methods; and frequentist methods of statistical inference. After forming this foundation, the authors explore multiple linear regression, analysis of variance (ANOVA), logistic regression, log-linear models, survival analysis, multilevel modeling, Bayesian models, and Markov chain Monte Carlo (MCMC) methods.
- Introduces GLMs in a way that enables readers to understand the unifying structure that underpins them
- Discusses common concepts and principles of advanced GLMs, including nominal and ordinal regression, survival analysis, non-linear associations and longitudinal analysis
- Connects Bayesian analysis and MCMC methods to fit GLMs
- Contains numerous examples from business, medicine, engineering, and the social sciences
- Provides the example code for R, Stata, and WinBUGS to encourage implementation of the methods
- Offers the data sets and solutions to the exercises online
- Describes the components of good statistical practice to improve scientific validity and reproducibility of results.
Using popular statistical software programs, this concise and accessible text illustrates practical approaches to estimation, model fitting, and model comparisons.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Annette J. Dobson is Professor of Biostatistics at the Univesity of Queensland.
Adrian G. Barnett is a professor at the Queensland University of Technology.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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An Introduction to Generalized Linear Models, 4th edition
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An Introduction to Generalized Linear Models, 4th
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An Introduction to Generalized Linear Models
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CRC Press, 2018
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An Introduction to Generalized Linear Models, Fourth Edition (Chapman & Hall/CRC Texts in Statistical Science)
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An Introduction to Generalized Linear Models (Chapman & Hall/CRC Texts in Statistical Science)
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AN INTRODUCTION TO GENERALIZED LINEAR MODELS, 4 TH ED
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Introduction to Generalized Linear Models
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Chapman and Hall/CRC, 2018
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ISBN 13 : 9781138741683
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AN INTRODUCTION TO GENERALIZED LINEAR MODELS, 4 TH ED
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Chapman and Hall/CRC, 2018
ISBN 10 : 113874168X
ISBN 13 : 9781138741683
Neuf
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Dobson, A: An Introduction to Generalized Linear Models
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Annette J. Dobson is Professor of Biostatistics at the Univesity of Queensland.Adrian G. Barnett is a professor at the Queensland University of Technology.An Introduction to Generalized Line. N° de réf. du vendeur 595426235
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An Introduction to Generalized Linear Models (Chapman & Hall/CRC Texts in Statistical Science)
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Chapman and Hall/CRC, 2018
ISBN 10 : 113874168X
ISBN 13 : 9781138741683
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