http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
1 online resource ( xv, 496 pages) : illustrations.
1. Introduction to Regression Models 2. Estimating Regression Model Parameters 3. The Classical Model and Its Consequences 4. Evaluating Assumptions 5. Transformations 6. The Multiple Regression Model 7. Multiple Regression from the Matrix Point of View 8. R-squared, Adjusted R-Squared, the F Test, and Multicollinearity 9. Polynomial Models and Interaction (Moderator) Analysis 10. ANOVA, ANCOVA, and Other Applications of Indicator Variables 11. Variable Selection 12. Heteroscedasticity and Non-independence 13. Models for Binary, Nominal, and Ordinal Response Variables 14. Models for Poisson and Negative Binomial Response 15. Censored Data Models 16. Outliers, Identification, Problems, and Remedies (Good and Bad) 17. Neural Network Regression 18. Regression Trees 19. Bookend
"A Chapman & Hall Book"--Taken from title page
Includes bibliographical references and index.