An Introduction to Categorical Data Analysis (Wiley Series in Probability and Statistics) by Wiley-Interscience

	Title: An Introduction to Categorical Data Analysis (Wiley Series in Probability and Statistics) Purchase Item Manufacturer: Wiley-Interscience List Price: $100.95 Our Price: $47.66
Customer Reviews:
An Introduction to Categorical Data Analysis (Wiley Series in Probability and Statistics) by Wiley-Interscience an elementary version of Agresti's categorical data analysis
Agesti is recognized as one of the leading experts in categorical data analysis and his advanced book has received treemendous acclaim. This book has much of the important content of the advanced book but watered down a little to be understandable to a broader audience. Alan Agresti is very good at doing that and therefore this book deserves high praise.
An Introduction to Categorical Data Analysis (Wiley Series in Probability and Statistics) by Wiley-Interscience much worse than first edition
I am a statistics graduate student and have read this book, the first edition of this book, and parts of the full version (Categorical Data Analysis - Agresti 2002). This edition (2nd) of Introduction to Categorical Data Analysis is not as good as the first edition or the 2002 edition. The examples are hard to follow and the SAS output is difficult to replicate in some cases. Do yourself a favor and use the 2002 full version. It will save you a lot of time and frustration.Categorical Data Analysis (Wiley Series in Probability and Statistics)
An Introduction to Categorical Data Analysis (Wiley Series in Probability and Statistics) by Wiley-Interscience A great reference!
Agresti's book 'Introduction to Categorical Data Analysis' has been very valuable for my research and understanding of logistics regression techniques. I am not a statistics major and so I greatly appreciate his use of examples to discuss the concepts. Rather than getting lost in equations with tons of vectors and matrices, Agresti's book focuses on the core concepts and methodologies you need to prepare your data, set up the models and interpret the results. The companion webpage has the SAS code for most of the examples so you can replicate what he did. Highly Recommended!
An Introduction to Categorical Data Analysis (Wiley Series in Probability and Statistics) by Wiley-Interscience Informative and concise
Categorical Data Analysis covers the basics of categorical data in an informative and inclusive manner. It is understandable to most readers, and it follows in logical order.
An Introduction to Categorical Data Analysis (Wiley Series in Probability and Statistics) by Wiley-Interscience An excellent introduction
The larger, older, more complex Agresti (to which many of the reviewers have referred) is written in formulas. His newer book, the subject of review, is written in words. For a large group of readers, "Introduction" is perfectly suitable. However, those who are really interested in the mathematical concepts, should buy the older Agresti title. My personal opinion is that they are good companions and that the introductory book is the place to start, unless you know that you will be unhappy with the light treatment of the mathematical issues.
An Introduction to Categorical Data Analysis (Wiley Series in Probability and Statistics) by Wiley-Interscience Product Description
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, and sports, to name a few." —Journal of Quality Technology "Alan Agresti has written another brilliant account of the analysis of categorical data." —The Statistician The use of statistical methods for categorical data is ever increasing in today's world. An Introduction to Categorical Data Analysis, Second Edition provides an applied introduction to the most important methods for analyzing categorical data. This new edition summarizes methods that have long played a prominent role in data analysis, such as chi-squared tests, and also places special emphasis on logistic regression and other modeling techniques for univariate and correlated multivariate categorical responses. This Second Edition features: Two new chapters on the methods for clustered data, with an emphasis on generalized estimating equations (GEE) and random effects models A unified perspective based on generalized linear models An emphasis on logistic regression modeling An appendix that demonstrates the use of SAS® for all methods An entertaining historical perspective on the development of the methods Specialized methods for ordinal data, small samples, multicategory data, and matched pairs More than 100 analyses of real data sets and nearly 300 exercises Written in an applied, nontechnical style, the book illustrates methods using a wide variety of real data, including medical clinical trials, drug use by teenagers, basketball shooting, horseshoe crab mating, environmental opinions, correlates of happiness, and much more. An Introduction to Categorical Data Analysis, Second Edition is an invaluable tool for social, behavioral, and biomedical scientists, as well as researchers in public health, marketing, education, biological and agricultural sciences, and industrial quality control.

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