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Synopsis
The new Second Edition will extend coverage to regression models such as: generalized linear models; limited-dependent-variable-models; mixed models and Cox regression among other methods.
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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.
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Applied Regression Analysis and Generalized Linear Models
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Applied Regression Analysis and Generalized Linear Models
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Applied Regression Analysis and Generalized Linear Models
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Applied Regression Analysis and Generalized Linear Models
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SAGE Publications, Incorporated, 2008
ISBN 10: 0761930426
ISBN 13: 9780761930426
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Applied Regression Analysis and Generalized Linear Models
Published by
SAGE Publications, Incorporated, 2008
ISBN 10: 0761930426
ISBN 13: 9780761930426
Used
Hardcover
Seller: Better World Books, Mishawaka, IN, U.S.A.
Seller rating 5 out of 5 stars
Condition: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good. Seller Inventory # 11454606-20