An introduction to categorical data analysis (Record no. 560339)
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000 -LEADER | |
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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 |
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 |
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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 |