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Data analysisa model comparison appr...
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Judd, Charles M.
Data analysisa model comparison approach /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Data analysisCharles M. Judd, Gery H. McClelland, Carey S. Ryan.
Reminder of title:
a model comparison approach /
Author:
Judd, Charles M.
other author:
McClelland, Gary H.,
Published:
New York ;Routledge,2009.
Description:
1 online resource (xii, 328 p.) :ill.
Subject:
Mathematical statistics.
Online resource:
Click here to view
ISBN:
9780203892053 (ebook)
Data analysisa model comparison approach /
Judd, Charles M.
Data analysis
a model comparison approach /[electronic resource] :Charles M. Judd, Gery H. McClelland, Carey S. Ryan. - 2nd ed. - New York ;Routledge,2009. - 1 online resource (xii, 328 p.) :ill.
Includes bibliographical references (p. 317) and indexes.
1. Introduction to data analysis -- 2. Simple models : definitions of error and parameter estimates -- 3. Simple models : models of error and sampling distributions -- 4. Simple models : statistical inferences about parameter values -- 5. Simple regression : estimating models with a single continuous predictor -- 6. Multiple regression : models with multiple continuous predictors -- 7. Moderated and nonlinear regression models -- 8. One-way ANOVA : models with a single categorical predictor -- 9. Factorial ANOVA : models with multiple categorical predictors and product terms -- 10. Models with continuous and categorical predictors : ANCOVA -- 11. Repeated-measures ANOVA : models with nonindependent errors -- 12. Continuous predictors with nonindependent observations -- 13. Outliers and ill-mannered error.
Mode of access: World Wide Web.
ISBN: 9780203892053 (ebook)Subjects--Topical Terms:
181877
Mathematical statistics.
Index Terms--Genre/Form:
214472
Electronic books.
LC Class. No.: QA276 / .J83 2009
Dewey Class. No.: 519.5 / J922
Data analysisa model comparison approach /
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a model comparison approach /
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Charles M. Judd, Gery H. McClelland, Carey S. Ryan.
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2009.
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ill.
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Includes bibliographical references (p. 317) and indexes.
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1. Introduction to data analysis -- 2. Simple models : definitions of error and parameter estimates -- 3. Simple models : models of error and sampling distributions -- 4. Simple models : statistical inferences about parameter values -- 5. Simple regression : estimating models with a single continuous predictor -- 6. Multiple regression : models with multiple continuous predictors -- 7. Moderated and nonlinear regression models -- 8. One-way ANOVA : models with a single categorical predictor -- 9. Factorial ANOVA : models with multiple categorical predictors and product terms -- 10. Models with continuous and categorical predictors : ANCOVA -- 11. Repeated-measures ANOVA : models with nonindependent errors -- 12. Continuous predictors with nonindependent observations -- 13. Outliers and ill-mannered error.
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Also available in print edition.
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Mode of access: World Wide Web.
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Ryan, Carey S.
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http://www.tandfebooks.com/isbn/9780203892053
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