A VALUABLE NEW EDITION OF A STANDARD REFERENCE
The use of statistical methods for categorical data has increased
dramatically, particularly for applications in the biomedical and
social sciences. _An Introduction to Categorical Data Analysis, Third
Edition_ summarizes these methods and shows readers how to use them
using software. Readers will find a unified generalized linear models
approach that connects logistic regression and loglinear models for
discrete data with normal regression for continuous data.
Adding to the value in the new edition is:
• Illustrations of the use of R software to perform all the analyses
in the book
• A new chapter on alternative methods for categorical data,
including smoothing and regularization methods (such as the lasso),
classification methods such as linear discriminant analysis and
classification trees, and cluster analysis
• New sections in many chapters introducing the Bayesian approach
for the methods of that chapter
• More than 70 analyses of data sets to illustrate application of
the methods, and about 200 exercises, many containing other data sets
• An appendix showing how to use SAS, Stata, and SPSS, and an
appendix with short solutions to most odd-numbered exercises
Written in an applied, nontechnical style, this book illustrates the
methods using a wide variety of real data, including medical clinical
trials, environmental questions, drug use by teenagers, horseshoe crab
mating, basketball shooting, correlates of happiness, and much more.
_An Introduction to Categorical Data Analysis, Third Edition_ is an
invaluable tool for statisticians and biostatisticians as well as
methodologists in the social and behavioral sciences, medicine and
public health, marketing, education, and the biological and
agricultural sciences.
Les mer
Produktdetaljer
ISBN
9781119405276
Publisert
2018
Utgave
3. utgave
Utgiver
Vendor
Wiley-Blackwell
Språk
Product language
Engelsk
Format
Product format
Digital bok
Forfatter