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Categorical data analysis by example / Graham J.G. Upton.

By: Material type: TextTextPublication details: New Jersey : John Wiley, ©2017.Description: xiii, 198 pages : illustrations ; 25 cmISBN:
  • 9781119307860 (hardback)
Subject(s): DDC classification:
  • 000SA.07 23 Up71
Contents:
1. Introduction -- 2. Estimation and inference for categorical data -- 3. The 2X2 contingency table -- 3. The I X J contingency table -- 5. The exponential family -- 6. A model taxonomy -- 7. The 2 X J contingency table -- 8. Logistic regression with several explanatory variables -- 9. Model selection and diagnostics -- 10. Multinomial logistic regression -- 11. Log-linear models for I X J tables -- 12. Log-linear models for I x J X K tables -- 13. Implications and uses of birch's result -- 14. Model selection for log-linear models -- 15. Incomplete tables, dummy variables, and outliers -- 16. Panel data and repeated measures -- Appendix.
Summary: Introduces the key concepts in the analysis of categoricaldata with illustrative examples and accompanying R code This book is aimed at all those who wish to discover how to analyze categorical data without getting immersed in complicated mathematics and without needing to wade through a large amount of prose.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 000SA.07 Up71 (Browse shelf(Opens below)) Available 137762
Total holds: 0

Includes bibliographical references and indexes.

1. Introduction --
2. Estimation and inference for categorical data --
3. The 2X2 contingency table --
3. The I X J contingency table --
5. The exponential family --
6. A model taxonomy --
7. The 2 X J contingency table --
8. Logistic regression with several explanatory variables --
9. Model selection and diagnostics --
10. Multinomial logistic regression --
11. Log-linear models for I X J tables --
12. Log-linear models for I x J X K tables --
13. Implications and uses of birch's result --
14. Model selection for log-linear models --
15. Incomplete tables, dummy variables, and outliers --
16. Panel data and repeated measures --
Appendix.

Introduces the key concepts in the analysis of categoricaldata with illustrative examples and accompanying R code This book is aimed at all those who wish to discover how to analyze categorical data without getting immersed in complicated mathematics and without needing to wade through a large amount of prose.

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