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Synopsis
This volume seeks to move the standard of statistical analysis and presentation in the social sciences towards an accurate and sensitive representation of data. This is accomplished by focusing on four themes: an emphasis on graphical data analysis; the use of computers for doing intensive computations; regression analysis; and sampling characteristics of data.
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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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- PublisherSAGE Publications, Inc
- Publication date1990
- ISBN 10 0803933665
- ISBN 13 9780803933668
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages448
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Modern Methods of Data Analysis
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ISBN 13: 9780803933668
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Modern Methods of Data Analysis
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ISBN 10: 0803933665
ISBN 13: 9780803933668
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