Bộ sách luyện thi ETS 2023 LC&RC
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Thể loại:
Năm:2018
Nhà xuát bản:John Wiley & Sons
Ngôn ngữ:english
Trang:400
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.
