Updating and expanding the original text, this new edition covers the current theory and applications of linear regression analysis. It provides a survey of the research literature and outlines the solutions to approximately 200 sample problems. Particular attention is given to diagnostics, model fitting, model selection, and prediction. Seber and Lee have each taught statistics at the University of Auckland. Annotation (c) Book News, Inc., Portland, OR (booknews.com)
Concise, mathematically clear, and comprehensive treatment of the subject.
* Expanded coverage of diagnostics and methods of model fitting.
* Requires no specialized knowledge beyond a good grasp of matrix algebra and some acquaintance with straight-line regression and simple analysis of variance models.
* More than 200 problems throughout the book plus outline solutions for the exercises.
* This revision has been extensively class-tested.