Generalized Linear Models with Random Effects | Unified Analysis via H-likelihood, Second Edition

Youngjo Lee (u. a.)

ISBN 10: 1032096632 ISBN 13: 9781032096636

Published by Chapman and Hall/CRC, 2021

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This is the second edition of a monograph on generalized linear models with random effects that extends the classic work of McCullagh and Nelder. It has been thoroughly updated, with around 80 pages added, including new material on the extended likelihood approach that strengthens the theoretical basis of the methodology, new developments in variable selection and multiple testing, and new examples and applications. It includes an R package for all the methods and examples that supplement the book.

About the Author:

Youngjo Lee is Professor at Seoul National University, South Korea.

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Bibliographic Details

Title: Generalized Linear Models with Random ...
Publisher: Chapman and Hall/CRC
Publication Date: 2021
Binding: Taschenbuch
Condition: Neu
Edition: 2nd Edition

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Generalized Linear Models with Random Effects

Youngjo Lee|John A. Nelder|Yudi Pawitan

Published by CRC Press, 2021

ISBN 10: 1032096632 ISBN 13: 9781032096636

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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Youngjo Lee is Professor at Seoul National University, South Korea.This is the second edition of a monograph on generalized linear models with random effects that extends the classic work of McCullagh and Nelder. . Seller Inventory # 487064971

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Generalized Linear Models With Random Effects : Unified Analysis Via H-likelihood

Nelder, John A.; Pawitan, Yudi

Published by Routledge, 2021

ISBN 10: 1032096632 ISBN 13: 9781032096636

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Generalized Linear Models with Random Effects

Youngjo Lee

Published by Chapman And Hall/CRC Jun 2021, 2021

ISBN 10: 1032096632 ISBN 13: 9781032096636

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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany

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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This is the second edition of a monograph on generalized linear models with random effects that extends the classic work of McCullagh and Nelder. It has been thoroughly updated, with around 80 pages added, including new material on the extended likelihood approach that strengthens the theoretical basis of the methodology, new developments in variable selection and multiple testing, and new examples and applications. It includes an R package for all the methods and examples that supplement the book. 468 pp. Englisch. Seller Inventory # 9781032096636

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