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Synopsis
Combining a modern, data-analytic perspective with a focus on applications in the social sciences, the Third Edition of Applied Regression Analysis and Generalized Linear Models provides in-depth coverage of regression analysis, generalized linear models, and closely related methods, such as bootstrapping and missing data. Updated throughout, this Third Edition includes new chapters on mixed-effects models for hierarchical and longitudinal data. Although the text is largely accessible to readers with a modest background in statistics and mathematics, author John Fox also presents more advanced material in optional sections and chapters throughout the book.
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About the Author
John Fox received a BA from the City College of New York and a PhD from the University of Michigan, both in Sociology. He is Professor Emeritus of Sociology at McMaster University in Hamilton, Ontario, Canada, where he was previously the Senator William McMaster Professor of Social Statistics. Prior to coming to McMaster, he was Professor of Sociology, Professor of Mathematics and Statistics, and Coordinator of the Statistical Consulting Service at York University in Toronto. Professor Fox is the author of many articles and books on applied statistics, including \emph{Applied Regression Analysis and Generalized Linear Models, Third Edition} (Sage, 2016). He is an elected member of the R Foundation, an associate editor of the Journal of Statistical Software, a prior editor of R News and its successor the R Journal, and a prior editor of the Sage Quantitative Applications in the Social Sciences monograph series.
From the Back Cover
Providing a modern treatment of regression analysis, linear models and closely related methods, this book introduces students to one of the most useful and widely used statistical tools for social research.
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- PublisherSAGE Publications, Inc
- Publication date2015
- ISBN 10 1452205663
- ISBN 13 9781452205663
- BindingHardcover
- LanguageEnglish
- Edition number3
- Number of pages816
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Applied Regression Analysis and Generalized Linear Models
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SAGE Publications, Inc (edition Third), 2015
ISBN 10: 1452205663
ISBN 13: 9781452205663
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Applied Regression Analysis and Generalized Linear Models
Published by
SAGE Publications, Inc (edition Third), 2015
ISBN 10: 1452205663
ISBN 13: 9781452205663
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Applied Regression Analysis and Generalized Linear Models
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ISBN 10: 1452205663
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