Applied Regression Analysis and Multivariable Methods

ISBN-10: 0534209106

ISBN-13: 9780534209100

Edition: 3rd 1998 (Revised)

List price: $173.95
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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 development; the intuitive logic and assumptions that underlie the techniques covered as well as the purposes, advantages and disadvantages, and valid interpretations of those techniques.
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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 Researchp. 1
Classification of Variables and the Choice of Analysisp. 7
Basic Statistics: A Reviewp. 14
Introduction to Regression Analysisp. 34
Straight-Line Regression Analysisp. 39
The Correlation Coefficient and Straight-Line Regression Analysisp. 88
The Analysis-of-Variance Tablep. 104
Multiple Regression Analysis: General Considerationsp. 111
Testing Hypotheses in Multiple Regressionp. 136
Correlations: Multiple, Partial, and Multiple Partialp. 160
Confounding and Interaction in Regressionp. 186
Regression Diagnosticsp. 212
Polynomial Regressionp. 281
Dummy Variables in Regressionp. 317
Analysis of Covariance and Other Methods for Adjusting Continuous Datap. 361
Selecting the Best Regression Equationp. 386
One-Way Analysis of Variancep. 423
Randomized Blocks: Special Case of Two-Way ANOVAp. 484
Two-Way ANOVA with Equal Cell Numbersp. 516
Two-Way ANOVA with Unequal Cell Numbersp. 561
Analysis of Repeated Measures Datap. 589
The Method of Maximum Likelihoodp. 639
Logistic Regression Analysisp. 656
Poisson Regression Analysisp. 687
App. A: Tablesp. 711
Matrices and their Relationship to Regression Analysisp. 732
Anova Information for Four Common Balanced Repeated Measures Designsp. 744
App. D: Solutions to Exercisesp. 758
Indexp. 787
Table of Contents provided by Blackwell. All Rights Reserved.
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