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An introduction to categorical data analysis (Record no. 560339)

000 -LEADER
fixed length control field 02427 a2200241 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781119405269
040 ## - CATALOGING SOURCE
Transcribing agency IIT Kanpur
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.5
Item number Ag82i3
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Agresti, Alan
245 ## - TITLE STATEMENT
Title An introduction to categorical data analysis
Statement of responsibility, etc Alan Agresti
250 ## - EDITION STATEMENT
Edition statement 3rd ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher John Wiley
Year of publication 2019
Place of publication Hoboken, NJ
300 ## - PHYSICAL DESCRIPTION
Number of Pages xiii,375p
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Wiley series in probability and statistics
490 ## - SERIES STATEMENT
Series statement / edited by David J. Balding
500 ## - GENERAL NOTE
General note Includes bibliographical references and index
520 ## - SUMMARY, ETC.
Summary, etc 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.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Multivariate analysis
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Data analysis
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection code Permanent Location Current Location Date acquired Source of acquisition Cost, normal purchase price Full call number Accession Number Cost, replacement price Koha item type
        General Stacks PK Kelkar Library, IIT Kanpur PK Kelkar Library, IIT Kanpur 2019-07-01 60 8312.03 519.5 Ag82i3 A184487 10390.04 Books

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