An introduction to computational statistics: regression analysis

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Prentice Hall, 1995 - Mathematics - 364 pages
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This fully integrated development of the theory, computation, and practice of modern regression analysisboth linear and nonlinear models and analysis of variancefeatures many examples and problems that involve complete analysis, from data entry to report writing.This book offers a modern, software-oriented approach. It introduces statistical software early and uses it throughout. It ignores traditional topics that have been made obsolete by easy access to statistical software. Data analysis theory and traditional theory are covered. Computational detail is explicit and the book illustrates complete data analyses for a broad variety of applications. Extensive coverage of nonlinear regression is provided, with applications to maximum likelihood estimation and robust regression.

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A Quick Look at a Typical
Simple Linear Regression
Applying Simple Linear Regression

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