Generalized Linear Models, Second Edition (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)

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9780412317606: Generalized Linear Models, Second Edition (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)

The success of the first edition of Generalized Linear Models led to the updated Second Edition, which continues to provide a definitive unified, treatment of methods for the analysis of diverse types of data. Today, it remains popular for its clarity, richness of content and direct relevance to agricultural, biological, health, engineering, and other applications.

The authors focus on examining the way a response variable depends on a combination of explanatory variables, treatment, and classification variables. They give particular emphasis to the important case where the dependence occurs through some unknown, linear combination of the explanatory variables.

The Second Edition includes topics added to the core of the first edition, including conditional and marginal likelihood methods, estimating equations, and models for dispersion effects and components of dispersion. The discussion of other topics-log-linear and related models, log odds-ratio regression models, multinomial response models, inverse linear and related models, quasi-likelihood functions, and model checking-was expanded and incorporates significant revisions.

Comprehension of the material requires simply a knowledge of matrix theory and the basic ideas of probability theory, but for the most part, the book is self-contained. Therefore, with its worked examples, plentiful exercises, and topics of direct use to researchers in many disciplines, Generalized Linear Models serves as ideal text, self-study guide, and reference.

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McCullagh, P.; Nelder, John A.
Published by Taylor Francis Ltd, United States (1990)
ISBN 10: 0412317605 ISBN 13: 9780412317606
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Book Description Taylor Francis Ltd, United States, 1990. Hardback. Book Condition: New. 2nd Revised edition. 230 x 150 mm. Language: English . Brand New Book. The success of the first edition of Generalized Linear Models led to the updated Second Edition, which continues to provide a definitive unified, treatment of methods for the analysis of diverse types of data. Today, it remains popular for its clarity, richness of content and direct relevance to agricultural, biological, health, engineering, and other applications. The authors focus on examining the way a response variable depends on a combination of explanatory variables, treatment, and classification variables. They give particular emphasis to the important case where the dependence occurs through some unknown, linear combination of the explanatory variables. The Second Edition includes topics added to the core of the first edition, including conditional and marginal likelihood methods, estimating equations, and models for dispersion effects and components of dispersion. The discussion of other topics-log-linear and related models, log odds-ratio regression models, multinomial response models, inverse linear and related models, quasi-likelihood functions, and model checking-was expanded and incorporates significant revisions. Comprehension of the material requires simply a knowledge of matrix theory and the basic ideas of probability theory, but for the most part, the book is self-contained. Therefore, with its worked examples, plentiful exercises, and topics of direct use to researchers in many disciplines, Generalized Linear Models serves as ideal text, self-study guide, and reference. Bookseller Inventory # AAZ9780412317606

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McCullagh, P.; Nelder, John A.
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Book Description Taylor Francis Ltd, United States, 1990. Hardback. Book Condition: New. 2nd Revised edition. 230 x 150 mm. Language: English . Brand New Book. The success of the first edition of Generalized Linear Models led to the updated Second Edition, which continues to provide a definitive unified, treatment of methods for the analysis of diverse types of data. Today, it remains popular for its clarity, richness of content and direct relevance to agricultural, biological, health, engineering, and other applications. The authors focus on examining the way a response variable depends on a combination of explanatory variables, treatment, and classification variables. They give particular emphasis to the important case where the dependence occurs through some unknown, linear combination of the explanatory variables. The Second Edition includes topics added to the core of the first edition, including conditional and marginal likelihood methods, estimating equations, and models for dispersion effects and components of dispersion. The discussion of other topics-log-linear and related models, log odds-ratio regression models, multinomial response models, inverse linear and related models, quasi-likelihood functions, and model checking-was expanded and incorporates significant revisions. Comprehension of the material requires simply a knowledge of matrix theory and the basic ideas of probability theory, but for the most part, the book is self-contained. Therefore, with its worked examples, plentiful exercises, and topics of direct use to researchers in many disciplines, Generalized Linear Models serves as ideal text, self-study guide, and reference. Bookseller Inventory # AAZ9780412317606

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Book Description Chapman and Hall/CRC 1989-08-01, 1989. Book Condition: 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. Bookseller Inventory # NU-GRD-00570994

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Book Description Chapman and Hall/CRC, 1989. HRD. Book Condition: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Bookseller Inventory # GB-9780412317606

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Book Description Chapman and Hall/CRC, 1989. Book Condition: New. Brand New, Unread Copy in Perfect Condition. A+ Customer Service! Summary: The bestselling second edition of this outstanding text remains popular today for its clarity, richness of content and direct relevance to agricultural, biological, health, engineering, and other applications. It provides a definitive unified, treatment of methods for the analysis of diverse types of data. The authors focus on the way a response variable depends on a combination of explanatory variables, treatment, and classification variables. With its worked examples, plentiful exercises, and topics of direct use to researchers in many disciplines, Generalized Linear Models serves as ideal text, self-study guide, and reference. Bookseller Inventory # ABE_book_new_0412317605

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Book Description Hardback. Book Condition: New. Not Signed; The success of the first edition of Generalized Linear Models led to the updated Second Edition, which continues to provide a definitive unified, treatment of methods for the analysis of diverse types of data. Today, it remains popular for its clarity, richness of content and direct relevance to agr. book. Bookseller Inventory # ria9780412317606_rkm

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