Generalized linear mixed models : modern concepts, methods and applications hbk Second edition

Generalized linear mixed models : modern concepts, methods and applications hbk

Second edition

Material type: 図書

Author: Walter W. Stroup, Marina Ptukhina and Julie Garai

Publisher: CRC Press

Publication date: 2024

Material Format: Paper

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NDC: -

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Note (General)：: Includes bibliographical references and index.Summary:"Generalized Linear Mixed Models: Modern Concepts, Methods and Applications (2nd edition) presen...

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Paper

Material Type: 図書
ISBN: 9781498755566
Title: Generalized linear mixed models : modern concepts, methods and applications
Volume: hbk
Author/Editor: Walter W. Stroup, Marina Ptukhina and Julie Garai
Edition: Second edition
Author Heading: Stroup, Walter W. (Walter Whitney)
Ptukhina, Marina
Garai, Julie
Publication, Distribution, etc.: CRC Press
Publication Date: 2024
Publication Date (W3CDTF): 2024
Place of Publication (Country Code): us
Text Language Code: en
Subject Heading: Linear models (Statistics)
MATHEMATICS / Probability & Statistics / General bisacsh
LCC: QA279
Target Audience: 一般
Note (General): Includes bibliographical references and index.
Summary:"Generalized Linear Mixed Models: Modern Concepts, Methods and Applications (2nd edition) presents an updated introduction to linear modeling using the generalized linear mixed model (GLMM) as the overarching conceptual framework. For students new to statistical modeling, this book helps them see the big picture - linear modeling as broadly understood and its intimate connection with statistical design and mathematical statistics. For readers experienced in statistical practice, but new to GLMMs, the book provides a comprehensive introduction to GLMM methodology and its underlying theory. Unlike textbooks that focus on classical linear models or generalized linear models or mixed models, this book covers all of the above as members of a unified GLMM family of linear models. In addition to essential theory and methodology, this book features a rich collection of examples using SAS® software to illustrate GLMM practice. This second edition is updated to reflect lessons learned and experience gained rega
Related Material (URI): https://ci.nii.ac.jp/ncid/BD06665453#entity
https://lccn.loc.gov/2023053452
Data Provider (Database): 国立情報学研究所 : CiNii Research
Original Data Provider (Database): CiNii Books
https://ci.nii.ac.jp/books
NCID: https://ci.nii.ac.jp/ncid/BD06665453 : BD06665453
LC Control Number: 2023053452
https://lccn.loc.gov/2023053452