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
Resource Information
The item A course in categorical data analysis, Thomas Leonard with contributions by Orestis Papasouliotis represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 1 library branch.
Resource Information
The item A course in categorical data analysis, Thomas Leonard with contributions by Orestis Papasouliotis represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 1 library branch.
- 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
- Language
- eng
- Extent
- 183 pages
- Note
- Series volume designation taken from CIP
- 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
- Isbn
- 9780849303234
- Label
- A course in categorical data analysis
- Title
- A course in categorical data analysis
- Statement of responsibility
- Thomas Leonard with contributions by Orestis Papasouliotis
- 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
- 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
- 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
- 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
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/portal/A-course-in-categorical-data-analysis-Thomas/xmWtK1d3Ie8/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/portal/A-course-in-categorical-data-analysis-Thomas/xmWtK1d3Ie8/">A course in categorical data analysis, Thomas Leonard with contributions by Orestis Papasouliotis</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>
