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Most popular at the top

  • An Introduction to Categorical Data Analysisby Alan Agresti

    Wiley 2007; US$ 82.50

    Praise for the First Edition "This is a superb text from which to teach categorical data analysis, at a variety of levels. . . [t]his book can be very highly recommended." — Short Book Reviews "Of great interest to potential readers is the variety of fields that are represented in the examples: health care, financial, government, product marketing,... more...

  • Categorical Data Analysisby Alan Agresti

    Wiley 2003; US$ 170.00

    Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. Categorical Data Analysis was among those chosen. A valuable new edition of a standard reference "A 'must-have' book for anyone expecting to do research and/or applications in categorical data analysis." – Statistics in Medicine... more...

  • Categorical Data Analysisby Alan Agresti

    Wiley 2013; US$ 150.00

    Praise for the Second Edition "A must-have book for anyone expecting to do research and/or applications in categorical data analysis." — Statistics in Medicine "It is a total delight reading this book." — Pharmaceutical Research "If you do any analysis of categorical data, this is an essential desktop reference." — Technometrics... more...

  • Analysis of Ordinal Categorical Databy Alan Agresti

    Wiley 2012; US$ 151.00

    Statistical science’s first coordinated manual of methods for analyzing ordered categorical data, now fully revised and updated, continues to present applications and case studies in fields as diverse as sociology, public health, ecology, marketing, and pharmacy. Analysis of Ordinal Categorical Data, Second Edition provides an introduction... more...

  • Foundations of Linear and Generalized Linear Modelsby Alan Agresti

    Wiley 2015; US$ 125.00

    Preface xi 1 Introduction to Linear and Generalized Linear Models 1 1.1 Components of a Generalized Linear Model 2 1.2 Quantitative/Qualitative Explanatory Variables and Interpreting Effects 6 1.3 Model Matrices and Model Vector Spaces 10 1.4 Identifiability and Estimability 13 1.5 Example: Using Software to Fit a GLM 15 Chapter Notes... more...

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