Henrik Madsen, Poul Thyregod

Introduction to General and Generalized Linear Models (eBook, ePUB)

• Format: ePub

Produktbeschreibung

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. The authors enable a clear comparison between general and generalized linear models and cover Gaussian-based hierarchical models and hierarchical generalized linear models. They illustrate the methods with many real-world examples and use R throughout to solve the problems. Ancillaries are available on the book's website.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Erscheinungstermin: 9. November 2010
• Englisch
• ISBN-13: 9781040063224
• Artikelnr.: 72249138

Autorenporträt

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.

Inhaltsangabe

Introduction. The Likelihood Principle. General Linear Models. Generalized Linear Models. Mixed Effects Models. Hierarchical Models. Real-Life Inspired Problems. Appendices. Bibliography. Index.

Rezensionen

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