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Categorical data analysis for the be...
~
Walker, Cindy M., (1965-)
Categorical data analysis for the behavioral and social sciences
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Categorical data analysis for the behavioral and social sciences/ Razia Azen, Cindy M. Walker.
Author:
Azen, Razia,
other author:
Walker, Cindy M.,
Published:
New York, N.Y. :Routledge, : 2011.,
Description:
1 online resource (xii, 283 p.) :ill. :
Subject:
Social sciences - Statistical methods. -
Online resource:
Click here to view
ISBN:
9780203843611 (ebook)
Categorical data analysis for the behavioral and social sciences
Azen, Razia,1969-
Categorical data analysis for the behavioral and social sciences
[electronic resource] /Razia Azen, Cindy M. Walker. - New York, N.Y. :Routledge,2011. - 1 online resource (xii, 283 p.) :ill.
Includes bibliographical references (p. 275-276) and index.
ch. 1. Introduction and overview -- ch. 2. Probability distributions -- ch. 3. Proportions, estimation, and goodness-of-fit -- ch. 4. Association between two categorical variables -- ch. 5. Association between three categorical variables -- ch. 6. Modeling and the generalized linear model -- ch. 7. Log-linear models -- ch. 8. Logistic regression with continuous predictors -- ch. 9. Logistic regression with categorical predictors -- ch. 10. Logistic regression for multicategory outcomes.
Mode of access: World Wide Web.
ISBN: 9780203843611 (ebook)Subjects--Topical Terms:
558812
Social sciences
--Statistical methods.Index Terms--Genre/Form:
554714
Electronic books.
LC Class. No.: HA29 / .A94 2011
Dewey Class. No.: 519.535 / A993
Categorical data analysis for the behavioral and social sciences
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Includes bibliographical references (p. 275-276) and index.
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ch. 1. Introduction and overview -- ch. 2. Probability distributions -- ch. 3. Proportions, estimation, and goodness-of-fit -- ch. 4. Association between two categorical variables -- ch. 5. Association between three categorical variables -- ch. 6. Modeling and the generalized linear model -- ch. 7. Log-linear models -- ch. 8. Logistic regression with continuous predictors -- ch. 9. Logistic regression with categorical predictors -- ch. 10. Logistic regression for multicategory outcomes.
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Mode of access: World Wide Web.
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Click here to view
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