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The Resource A course in categorical data analysis, Thomas Leonard with contributions by Orestis Papasouliotis

A course in categorical data analysis, Thomas Leonard with contributions by Orestis Papasouliotis

Label
A course in categorical data analysis
Title
A course in categorical data analysis
Statement of responsibility
Thomas Leonard with contributions by Orestis Papasouliotis
Creator
Contributor
Subject
Language
eng
Summary
"Although t-tests, linear regression, and analysis of variance are useful, valid methods for analysis of measurement data and categorical data require a different methodology and techniques typically not encountered in introductory statistics courses. Developed from long experience in teaching categorical data analysis to a multidisciplinary mix of undergraduate and graduate students, A Course in Categorical Data Analysis presents the easiest, most direct ways of extracting real-life conclusions from contingency tables. Written from a Fisherian viewpoint, the author incorporates numerous examples and real data sets. S-PLUS routines are available through the Internet, but readers do not need full knowledge of a statistical software package - a background in elementary statistics and basic algebra will suffice."--BOOK JACKET
Member of
Cataloging source
DLC
http://library.link/vocab/creatorDate
1948-
http://library.link/vocab/creatorName
Leonard, Thomas
Illustrations
illustrations
Index
index present
LC call number
QA278
LC item number
.L465 2000
Literary form
non fiction
Nature of contents
bibliography
http://library.link/vocab/relatedWorkOrContributorName
Papasouliotis, Orestis
Series statement
Texts in statistical science series
Series volume
46
http://library.link/vocab/subjectName
Multivariate analysis
Label
A course in categorical data analysis, Thomas Leonard with contributions by Orestis Papasouliotis
Instantiates
Publication
Note
Series volume designation taken from CIP
Bibliography note
Includes bibliographical references (pages [175]-180) and index
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
1. Sampling Distributions -- 2. Two-by-Two Contingency Tables -- 3. Simpson's Paradox and 2[superscript 3] Tables -- 4. The Madison Drug and Alcohol Abuse Study -- 5. Goodman's Full-Rank Interaction Analysis -- 6. Further Examples and Extensions -- 7. Conditional Independence Models for Two-Way Tables -- 8. Logistic Regression -- 9. Further Regression Models -- 10. Final Topics
Control code
42437113
Dimensions
25 cm
Extent
183 pages
Isbn
9780849303234
Isbn Type
(alk. paper)
Lccn
99047135
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Other physical details
illustrations
Label
A course in categorical data analysis, Thomas Leonard with contributions by Orestis Papasouliotis
Publication
Note
Series volume designation taken from CIP
Bibliography note
Includes bibliographical references (pages [175]-180) and index
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
1. Sampling Distributions -- 2. Two-by-Two Contingency Tables -- 3. Simpson's Paradox and 2[superscript 3] Tables -- 4. The Madison Drug and Alcohol Abuse Study -- 5. Goodman's Full-Rank Interaction Analysis -- 6. Further Examples and Extensions -- 7. Conditional Independence Models for Two-Way Tables -- 8. Logistic Regression -- 9. Further Regression Models -- 10. Final Topics
Control code
42437113
Dimensions
25 cm
Extent
183 pages
Isbn
9780849303234
Isbn Type
(alk. paper)
Lccn
99047135
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Other physical details
illustrations

Library Locations

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      38.944491 -92.326012
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