Applied regression analysis, Volume 1

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Wiley, Apr 23, 1998 - Business & Economics - 706 pages
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An outstanding introduction to the fundamentals of regression analysis-updated and expanded The methods of regression analysis are the most widely used statistical tools for discovering the relationships among variables. This classic text, with its emphasis on clear, thorough presentation of concepts and applications, offers a complete, easily accessible introduction to the fundamentals of regression analysis. Assuming only a basic knowledge of elementary statistics, Applied Regression Analysis, Third Edition focuses on the fitting and checking of both linear and nonlinear regression models, using small and large data sets, with pocket calculators or computers. This Third Edition features separate chapters on multicollinearity, generalized linear models, mixture ingredients, geometry of regression, robust regression, and resampling procedures. Extensive support materials include sets of carefully designed exercises with full or partial solutions and a series of true/false questions with answers. All data sets used in both the text and the exercises can be found on the companion disk at the back of the book. For analysts, researchers, and students in university, industrial, and government courses on regression, this text is an excellent introduction to the subject and an efficient means of learning how to use a valuable analytical tool. It will also prove an invaluable reference resource for applied scientists and statisticians.

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Contents

Basic Prerequisite Knowledge
1
Fitting a Straight Line by Least Squares
15
Checking the Straight Line Fit
47
Appendix 2B MINITAB Instructions
76
Exercises for Chapters 13
96
Straight Line Case
115
The General Regression Situation
135
Extra Sums of Squares and Tests for Several Parameters
149
An Introduction to Nonlinear Estimation
505
401
519
Robust Regression
567
235
583
Resampling Procedures Bootstrapping
585
Bibliography
593
243
594
409
596

Intercepts Same Model
299
205
353
217
370
277
380
Z1 More Geometry of Least Squares
447
Orthogonal Polynomials and Summary Data
461
Multiple Regression Applied to Analysis of Variance Problems
473
Truel False Questions
605
299
645
327
684
Index of Authors Associated with Exercises
695
369
698
605
705
Copyright

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About the author (1998)

NORMAN R. DRAPER teaches in the Department of Statistics at the University of Wisconsin. HARRY SMITH is a former faculty member of the Mt. Sinai School of Medicine.