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Zbl 0587.62134
Montgomery, Douglas C.; Peck, Elizabeth A.
Introduction to linear regression analysis. (English)
[B] Wiley Series in Probability and Mathematical Statistics. New York etc.: John Wiley \& Sons, Inc. XIII, 504 p. (1982).

From the preface: This book is intended as a text for a basic course in linear regression analysis. It contains the standard topics as well as some of the newer and more unconventional ones, and blends both theory and application so that the reader will obtain an understanding of the basic principles necessary to apply regression methods in a variety of practical settings. \par It is assumed that the reader has a basic knowledge of statistics such as that usually obtained from a first course, including familiarity with significance tests, confidence intervals, and the normal, t, $\chi\sp 2$, and F distributions. Some knowledge of matrix algebra is also necessary. \par Chapter headings: 1. Introduction; 2. Simple linear regression and correlation; 3. Measures of model adequacy; 4. Multiple linear regression; 5. Polynomial regression models; 6. Indicator variables; 7. Variable selection and model building; 8. Multicollinearity; 9. Topics in the use of regression analysis; 10. Validation of regression models.

MSC 2000:: *62J05 Linear regression
62-01 Textbooks (statistics)

Keywords: correlation; Measures of model adequacy; Multiple linear regression; Polynomial regression models; Indicator variables; Variable selection; model building; Multicollinearity; Validation of regression models

Cited in: Zbl pre06152754 Zbl pre05988043

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Zentralblatt MATH Berlin [Germany]