Introduction to General and Generalized Linear Models

Author:   Henrik Madsen ,  Poul Thyregod
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032922362


Pages:   316
Publication Date:   14 October 2024
Format:   Paperback
Availability:   In Print   Availability explained
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Introduction to General and Generalized Linear Models


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Author:   Henrik Madsen ,  Poul Thyregod
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.585kg
ISBN:  

9781032922362


ISBN 10:   1032922362
Pages:   316
Publication Date:   14 October 2024
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Reviews

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


Author Information

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.

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