Applied Regression Analysis and Other Multivariable Methods
By David G. Kleinbaum, Lawrence L. Kupper, Azhar Nizam, Eli S. Rosenberg
About your course materials
This bestseller is known for its modern, practical approach to regression-analysis methods that students will find applicable to real-life problems. APPLIED REGRESSION ANALYSIS AND MULTIVARIABLE METHODS highlights the role of the computer in contemporary statistics with numerous printouts and exercises that can be solved with the computer. The authors continue to emphasize model development, the intuitive logic and assumptions that underlie the techniques covered, the purposes, advantages, and disadvantages of the techniques, and valid interpretations of those techniques.
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About this product
This bestseller is known for its modern, practical approach to regression-analysis methods that students will find applicable to real-life problems. APPLIED REGRESSION ANALYSIS AND MULTIVARIABLE METHODS highlights the role of the computer in contemporary statistics with numerous printouts and exercises that can be solved with the computer. The authors continue to emphasize model development, the intuitive logic and assumptions that underlie the techniques covered, the purposes, advantages, and disadvantages of the techniques, and valid interpretations of those techniques.
Available with InfoTrac® Student Collections http://gocengage.com/infotrac.
Numerous examples and exercises illustrate applications to real studies in a wide variety of disciplines.
Chapters on Polytomous and Ordinal Logistic Regression (Chapter 23) and Sample Size Determination (Chapter 27).
Chapters on maximum likelihood (ML) estimation (Chapter 21), and analysis of correlated data (Chapter 25, 26).
Updated content, with new exercises added to several chapters.
Table of contents
Chapters
Chapter 1: Concepts and Examples of ResearchPreview this chapter
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