Modern Regression Methods / Edition 1

Modern Regression Methods / Edition 1

by Thomas P. Ryan
     
 

Regression is a common statistical technique. This synthesis of the state-of-the-art regression methodology features a data analysis orientation and comprehensive treatment of regression diagnostics. See more details below

Overview

Regression is a common statistical technique. This synthesis of the state-of-the-art regression methodology features a data analysis orientation and comprehensive treatment of regression diagnostics.

Product Details

ISBN-13:
9780471529125
Publisher:
Wiley
Publication date:
12/01/1996
Series:
Wiley Series in Probability and Statistics Series, #263
Edition description:
Older Edition
Pages:
536
Product dimensions:
1.25(w) x 6.14(h) x 9.21(d)

Related Subjects

Meet the Author

THOMAS P. RYAN is Professor of Statistics at the University of Newcastle in New South Wales, Australia, and the author of Statistical Methods for Quality Improvement, also published by Wiley.

Table of Contents

Diagnostics and Remedial Measures.

Regression with Matrix Algebra.

Introduction to Multiple Linear Regression.

Plots in Multiple Regression.

Transformations in Multiple Regression.

Selection of Regressors.

Polynomial and Trigonometric Terms.

Logistic Regression.

Nonparametric Regression.

Robust Regression.

Ridge Regression.

Nonlinear Regression.

Experimental Designs for Regression.

Applications of Regression.

Appendices.

Index.

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