Applied Regression Analysis and Multivariable Methods

Name: Applied Regression Analysis and Multivariable Methods
Price: 5.57 USD
Availability: InStock
ISBN: 9780534209100

ISBN-10: 0534209106

ISBN-13: 9780534209100

Edition: 3rd 1998 (Revised)

Authors: Lawrence Kupper, Keith Muller, David Kleinbaum, Azhar Nizam

List price: $173.95

30 day, 100% satisfaction guarantee!

Marketplace

4 new & used from $5.57

what's this?

Rush Rewards U
Members Receive:

You have reached 400 XP and carrot coins. That is the daily max!

Regression students will appreciate this best-seller's modern, practical approach and its use of real-life problems. The third edition offers a significant shift in emphasis from calculation to interpretation, by replacing computational formulas with computer printouts in SAS. It highlights the role of the computer in contemporary statistics with numerous printouts and exercises that can be solved with the computer. Appropriate for statistics, biostatistics, mathematics, psychology, sociology, business, and industrial engineering students or anyone who intends to use regression analysis in their work, this text offers a traditional structure with a modern flavor. The authors emphasize model…

Book details

List price: $173.95
Edition: 3rd
Copyright year: 1998
Publisher: Brooks/Cole
Publication date: 9/15/1997
Binding: Hardcover
Pages: 736
Size: 7.75" wide x 9.50" long x 1.50" tall
Weight: 3.080
Language: English

Concepts and Examples of Research	p. 1
Classification of Variables and the Choice of Analysis	p. 7
Basic Statistics: A Review	p. 14
Introduction to Regression Analysis	p. 34
Straight-Line Regression Analysis	p. 39
The Correlation Coefficient and Straight-Line Regression Analysis	p. 88
The Analysis-of-Variance Table	p. 104
Multiple Regression Analysis: General Considerations	p. 111
Testing Hypotheses in Multiple Regression	p. 136
Correlations: Multiple, Partial, and Multiple Partial	p. 160
Confounding and Interaction in Regression	p. 186
Regression Diagnostics	p. 212
Polynomial Regression	p. 281
Dummy Variables in Regression	p. 317
Analysis of Covariance and Other Methods for Adjusting Continuous Data	p. 361
Selecting the Best Regression Equation	p. 386
One-Way Analysis of Variance	p. 423
Randomized Blocks: Special Case of Two-Way ANOVA	p. 484
Two-Way ANOVA with Equal Cell Numbers	p. 516
Two-Way ANOVA with Unequal Cell Numbers	p. 561
Analysis of Repeated Measures Data	p. 589
The Method of Maximum Likelihood	p. 639
Logistic Regression Analysis	p. 656
Poisson Regression Analysis	p. 687
App. A: Tables	p. 711
Matrices and their Relationship to Regression Analysis	p. 732
Anova Information for Four Common Balanced Repeated Measures Designs	p. 744
App. D: Solutions to Exercises	p. 758
Index	p. 787
Table of Contents provided by Blackwell. All Rights Reserved.