Analysis of Ordinal Categorical Data
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A01=Alan Agresti
analysis of ordinal categorical data
Author_Alan Agresti
categorical data analysis
Category=PBK
Category=PBT
descriptive methods for categorical data
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
how to analyze ordinal categorical data
how to analyze ordinal data
inferential methods for categorical data
multinomial logistic regression
ordinal categorical data
repeated measurement ordinal data
specialized methods for categorical data
Product details
- ISBN 9780470082898
- Weight: 726g
- Dimensions: 163 x 246mm
- Publication Date: 14 May 2010
- Publisher: John Wiley & Sons Inc
- Publication City/Country: US
- Product Form: Hardback
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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 to basic descriptive and inferential methods for categorical data, giving thorough coverage of new developments and recent methods. Special emphasis is placed on interpretation and application of methods including an integrated comparison of the available strategies for analyzing ordinal data. Practitioners of statistics in government, industry (particularly pharmaceutical), and academia will want this new edition.
ALAN AGRESTI, PhD, is Distinguished Professor Emeritus in the Department of Statistics at the University of Florida and Visiting Professor in the Department of Statistics at Harvard University. A Fellow of the American Statistical Association and the Institute of Mathematical Statistics, Dr. Agresti has published extensively on the topic of categorical data analysis and has presented lectures and short courses on the subject in more than thirty countries. He is the author of Categorical Data Analysis, Second Edition and An Introduction to Categorical Data Analysis, Second Edition, both published by Wiley.
