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An Introduction to Categorical Data Analysis, 3rd Edition (Hardcover, 3rd Edition)
Loot Price: R3,503
Discovery Miles 35 030
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An Introduction to Categorical Data Analysis, 3rd Edition (Hardcover, 3rd Edition)
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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.
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