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Regression Analysis
Complete discussion of analysis of data including estimation, diagnostics, and remedial actions
Rudolf J. Freund (Author), William J. Wilson (Author), Ping Sa (Author)
9780120885978, Elsevier Science
Hardback, published 30 May 2006
480 pages, Approx. 100 illustrations
23.4 x 19 x 2.9 cm, 1.18 kg
"...is well-written , well-organized, and succeeds in making regression analysis understandable, without being overly technical." --Donice McCune, Stephen F. Austin University "I would say that this book is excellent from both a pedagogical perspective and a learning perspective (by the student). The instructor will enjoy discussing various concepts and then illustrating the concepts through the thorough examples. 6. This textbook will help give the students additional mathematical maturity for handling other statistics courses, especially applied courses like Analysis of Variance." --Steven Garren, James Madison University
Regression Analysis provides complete coverage of the classical methods of statistical analysis. It is designed to give students an understanding of the purpose of statistical analyses, to allow the student to determine, at least to some degree, the correct type of statistical analyses to be performed in a given situation, and have some appreciation of what constitutes good experimental design.
1. The Analysis of Means: A Review of Basics and an Introduction to Linear Models 2. Simple Linear Regression:Linear Regression with One Independent Variable 3. Multiple Regression 4. Problems with Observations 5. Multicollinearity 6. Problems with the Model 7. Curve Fitting 8. Introduction to Nonlinear Models 9. Indicator Variables 10. Categorical Response Variables 11. Generalized Linear Models Appendix A: Statistical Tables B: A Brief Introduction to Matrices C: Estimation Procedures
Subject Areas: Probability & statistics [PBT], Numerical analysis [PBKS]
