Categorical data analysis by example / Graham J.G. Upton.
Material type:
TextPublication details: New Jersey : John Wiley, ©2017.Description: xiii, 198 pages : illustrations ; 25 cmISBN: - 9781119307860 (hardback)
- 000SA.07 23 Up71
| 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 |
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| 000SA.07 Sh562 Calculus and analysis in Euclidean space / | 000SA.07 Sp745 Essentials of multivariate data analysis / | 000SA.07 T136 Constrained principal component analysis and related techniques / | 000SA.07 Up71 Categorical data analysis by example / | 000SA.07 Z53 Applied multivariate statistics with R / | 000SA.07 Z53 Applied multivariate statistics with R / | 000SA.07 An 551 Introduction to multivariate statistical analysis |
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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