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Table of contents (19 chapters)
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Front Matter
About this book
Applied Regression Analysis is aimed at the scientist who wishes to gain a working knowledge of regression analysis. The basic purpose of this book is to develop an understanding of least squares and related statistical methods without becoming excessively mathematical. It is the outgrowth of more than 30 years of consulting experience with scientists and many years of teaching an applied regression course to graduate students. Applied Regression Analysis serves as an excellent text for a service course on regression for non-statisticians and as a reference for researchers. It also provides a bridge between a two-semester introduction to statistical methods and a thoeretical linear models course.
Applied Regression Analysis emphasizes the concepts and the analysis of data sets. It provides a review of the key concepts in simple linear regression, matrix operations, and multiple regression. Methods and criteria for selecting regression variables and geometric interpretations are discussed. Polynomial, trigonometric, analysis of variance, nonlinear, time series, logistic, random effects, and mixed effects models are also discussed. Detailed case studies and exercises based on real data sets are used to reinforce the concepts. The data sets used in the book are available on the Internet.
Reviews
From the reviews:
IEEE ELECTRICAL INSULATION MAGAZINE
"Virtually all data taken require some form of modeling and curve fitting. This excellent book will give the reader a very clear understanding of the techniques used for fitting most types of data; and, because it covers all the significant areas, it can serve as a reference source. Students and especially researchers involved with data taking and modeling will greatly benefit from this book."
Editors and Affiliations
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Department of Statistics, North Carolina State University, Raleigh, USA
John O. Rawlings, Sastry G. Pantula, David A. Dickey
Bibliographic Information
Book Title: Applied Regression Analysis
Book Subtitle: A Research Tool
Editors: John O. Rawlings, Sastry G. Pantula, David A. Dickey
Series Title: Springer Texts in Statistics
DOI: https://doi.org/10.1007/b98890
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 1998
Hardcover ISBN: 978-0-387-98454-4Published: 23 April 1998
Softcover ISBN: 978-1-4757-7155-8Published: 23 March 2013
eBook ISBN: 978-0-387-22753-5Published: 31 March 2006
Series ISSN: 1431-875X
Series E-ISSN: 2197-4136
Edition Number: 2
Number of Pages: XVIII, 660
Additional Information: Originally published by Wadsworth, 1989
Topics: Probability Theory and Stochastic Processes, Applications of Mathematics, Statistical Theory and Methods