Introduction to General and Generalized Linear Models (Chapman & Hall/CRC Texts in Statistical Science)

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9781420091557: Introduction to General and Generalized Linear Models (Chapman & Hall/CRC Texts in Statistical Science)

Bridging the gap between theory and practice for modern statistical model building, Introduction to General and Generalized Linear Models presents likelihood-based techniques for statistical modelling using various types of data. Implementations using R are provided throughout the text, although other software packages are also discussed. Numerous examples show how the problems are solved with R.

After describing the necessary likelihood theory, the book covers both general and generalized linear models using the same likelihood-based methods. It presents the corresponding/parallel results for the general linear models first, since they are easier to understand and often more well known. The authors then explore random effects and mixed effects in a Gaussian context. They also introduce non-Gaussian hierarchical models that are members of the exponential family of distributions. Each chapter contains examples and guidelines for solving the problems via R.

Providing a flexible framework for data analysis and model building, this text focuses on the statistical methods and models that can help predict the expected value of an outcome, dependent, or response variable. It offers a sound introduction to general and generalized linear models using the popular and powerful likelihood techniques. Ancillary materials are available at www.imm.dtu.dk/~hm/GLM

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About the Author:

Henrik Madsen is a professor in the Department of Informatics and Mathematical Modelling at the Technical University of Denmark in Lyngby. He has authored or coauthored more than 400 publications. Dr. Madsen has also led or participated in research projects involving wind power and energy load forecasting, financial forecasting and modeling, heat dynamics modeling, PK/PD modeling in drug development, data assimilation, zooneses modeling, and high performance and scientific computing.

Review:

This book presents a well-structured introduction to both general linear models and generalized linear models. ... I would recommend the book as a suitable text for senior undergraduate or postgraduate students studying statistics or a reference for researchers in areas of statistics and its applications.
―Shuangzhe Liu, International Statistical Review, 2012

This book is targeted to undergraduates in statistics but can be used by researchers as a reference manual as well. It is well written, easy to read and the discussion of the examples is clear. As a complement there is a collection of slides for an introductory course on general, generalized, and mixed effects models in the homepage cited in the preface of this book. This book has a good set of references ... I recommend this book as one of the textbooks to be discussed in a course for model building.
―Clarice G.B. Demétrio, Biometrics, February 2012

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Poul Thyregod, Henrik Madsen
Editorial: Taylor Francis Inc, United States (2010)
ISBN 10: 1420091557 ISBN 13: 9781420091557
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Descripción Taylor Francis Inc, United States, 2010. Hardback. Estado de conservación: New. Language: English . Brand New Book. Bridging the gap between theory and practice for modern statistical model building, Introduction to General and Generalized Linear Models presents likelihood-based techniques for statistical modelling using various types of data. Implementations using R are provided throughout the text, although other software packages are also discussed. Numerous examples show how the problems are solved with R. After describing the necessary likelihood theory, the book covers both general and generalized linear models using the same likelihood-based methods. It presents the corresponding/parallel results for the general linear models first, since they are easier to understand and often more well known. The authors then explore random effects and mixed effects in a Gaussian context. They also introduce non-Gaussian hierarchical models that are members of the exponential family of distributions. Each chapter contains examples and guidelines for solving the problems via R. Providing a flexible framework for data analysis and model building, this text focuses on the statistical methods and models that can help predict the expected value of an outcome, dependent, or response variable. It offers a sound introduction to general and generalized linear models using the popular and powerful likelihood techniques. Ancillary materials are available at. Nº de ref. de la librería AA69781420091557

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Descripción CRC Press 2010-11-19, 2010. Estado de conservación: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely. Nº de ref. de la librería NU-GRD-04662043

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Poul Thyregod, Henrik Madsen
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Descripción Taylor Francis Inc, United States, 2010. Hardback. Estado de conservación: New. Language: English . Brand New Book. Bridging the gap between theory and practice for modern statistical model building, Introduction to General and Generalized Linear Models presents likelihood-based techniques for statistical modelling using various types of data. Implementations using R are provided throughout the text, although other software packages are also discussed. Numerous examples show how the problems are solved with R. After describing the necessary likelihood theory, the book covers both general and generalized linear models using the same likelihood-based methods. It presents the corresponding/parallel results for the general linear models first, since they are easier to understand and often more well known. The authors then explore random effects and mixed effects in a Gaussian context. They also introduce non-Gaussian hierarchical models that are members of the exponential family of distributions. Each chapter contains examples and guidelines for solving the problems via R. Providing a flexible framework for data analysis and model building, this text focuses on the statistical methods and models that can help predict the expected value of an outcome, dependent, or response variable. It offers a sound introduction to general and generalized linear models using the popular and powerful likelihood techniques. Ancillary materials are available at. Nº de ref. de la librería AA69781420091557

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Descripción Taylor and Francis 2010-11-19, Boca Raton, Fla. |London, 2010. hardback. Estado de conservación: New. Nº de ref. de la librería 9781420091557

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Descripción CRC Press, 2010. HRD. Estado de conservación: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Nº de ref. de la librería GB-9781420091557

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Descripción Estado de conservación: New. Bookseller Inventory # ST1420091557. Nº de ref. de la librería ST1420091557

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Descripción Taylor & Francis Inc, 2010. Estado de conservación: New. 2010. 1st Edition. Hardcover. Since the mathematics behind generalized linear models is often difficult to follow while the mathematics behind general linear models is well understood, this text describes the methodology behind both models in a parallel setup. Series: Chapman & Hall/CRC Texts in Statistical Science. Num Pages: 316 pages, 50 black & white illustrations, 53 black & white tables. BIC Classification: PBT. Category: (UU) Undergraduate. Dimension: 244 x 163 x 22. Weight in Grams: 596. . . . . . . Nº de ref. de la librería V9781420091557

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Descripción Hardback. Estado de conservación: New. Not Signed; Bridging the gap between theory and practice for modern statistical model building, Introduction to General and Generalized Linear Models presents likelihood-based techniques for statistical modelling using various types of data. Implementations using R are provided throughout the text, although oth. book. Nº de ref. de la librería ria9781420091557_rkm

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Descripción CRC Press, 2010. Hardback. Estado de conservación: NEW. 9781420091557 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. Nº de ref. de la librería HTANDREE0180886

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Descripción Taylor & Francis Inc. Estado de conservación: New. 2010. 1st Edition. Hardcover. Since the mathematics behind generalized linear models is often difficult to follow while the mathematics behind general linear models is well understood, this text describes the methodology behind both models in a parallel setup. Series: Chapman & Hall/CRC Texts in Statistical Science. Num Pages: 316 pages, 50 black & white illustrations, 53 black & white tables. BIC Classification: PBT. Category: (UU) Undergraduate. Dimension: 244 x 163 x 22. Weight in Grams: 596. . . . . . Books ship from the US and Ireland. Nº de ref. de la librería V9781420091557

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