Applied regression analysis and other multivariable methods /

by Kleinbaum, David G; Kleinbaum, David G.

Material type: materialTypeLabel

BookPublisher: Pacific Grove : Duxbury Press, c1998Edition: 3rd ed.Description: xviii, 798 p. : ill. ; 25 cm. + 1 computer disk (3 1/2 in.).ISBN: 0534209106.Subject(s): Multivariate analysis | Regression analysis | Analysis of Variance | Regression Analysis

Contents:

Concepts and Examples of Research -- Classification of Variables and the Choice of Analysis -- Basic Statistics: A Review -- Introduction to Regression Analysis -- Straight-Line Regression Analysis -- The Correlation Coefficient and Straight-Line Regression Analysis -- The Analysis-of-Variance Table -- Multiple Regression Analysis: General Considerations -- Testing Hypotheses in Multiple Regression -- Correlations: Multiple, Partial, and Multiple Partial -- Confounding and Interaction in Regression -- Regression Diagnostics -- Polynomial Regression -- Dummy Variables in Regression -- Analysis of Covariance and Other Methods for Adjusting Continuous Data -- Selecting the Best Regression Equation -- One-Way Analysis of Variance -- Randomized Blocks: Special Case of Two-Way ANOVA -- Two-Way ANOVA with Equal Cell Numbers -- Two-Way ANOVA with Unequal Cell Numbers --

Analysis of Repeated Measures Data -- The Method of Maximum Likelihood -- Logistic Regression Analysis -- Poisson Regression Analysis -- Matrices and their Relationship to Regression Analysis -- Anova Information for Four Common Balanced Repeated Measures Designs.

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Item type	Current location	Collection	Call number	Status	Date due	Barcode
Books	Dhaka University Science Library General Stacks	Non Fiction	519.536 APP (Browse shelf)	Available		395460

Rev. ed. of: Applied regression analysis and other multivariable methods / David G. Kleinbaum, Lawrence L. Kupper, Keith E. Muller. 2nd ed. c1988.

"An Alexander Kugushev book."

Includes bibliographical references and index.

1. Concepts and Examples of Research -- 2. Classification of Variables and the Choice of Analysis -- 3. Basic Statistics: A Review -- 4. Introduction to Regression Analysis -- 5. Straight-Line Regression Analysis -- 6. The Correlation Coefficient and Straight-Line Regression Analysis -- 7. The Analysis-of-Variance Table -- 8. Multiple Regression Analysis: General Considerations -- 9. Testing Hypotheses in Multiple Regression -- 10. Correlations: Multiple, Partial, and Multiple Partial -- 11. Confounding and Interaction in Regression -- 12. Regression Diagnostics -- 13. Polynomial Regression -- 14. Dummy Variables in Regression -- 15. Analysis of Covariance and Other Methods for Adjusting Continuous Data -- 16. Selecting the Best Regression Equation -- 17. One-Way Analysis of Variance -- 18. Randomized Blocks: Special Case of Two-Way ANOVA -- 19. Two-Way ANOVA with Equal Cell Numbers -- 20. Two-Way ANOVA with Unequal Cell Numbers --

21. Analysis of Repeated Measures Data -- 22. The Method of Maximum Likelihood -- 23. Logistic Regression Analysis -- 24. Poisson Regression Analysis -- App. B. Matrices and their Relationship to Regression Analysis -- App. C. Anova Information for Four Common Balanced Repeated Measures Designs.

System requirements for accompanying computer disk: IBM PC or compatible; Windows.

Dhaka University Library Online

Applied regression analysis and other multivariable methods /

by Kleinbaum, David G; Kleinbaum, David G.