Applied linear regression / Sanford Weisberg, School of Statistics, University of Minnesota, Minneapolis, MN.—Fourth edition. pages cm Includes bibliographical references and index. ISBN 978-1-118-38608-8 (hardback) 1. Regression analysis. I. Title. QA278.2.W44 2014 519.5′36–dc23 2014026538 Printed in the United States of America

A concise, comprehensive treatment of the application of statistical regression analysis suitable for undergraduate and graduate students. The book covers simple linear regression, multiple linear regression, model building, and some advanced regression topics.

Apr 9, 1998 · Assuming only a basic knowledge of elementary statistics, Applied Regression Analysis, Third Edition focuses on the fitting and checking of both linear and nonlinear regression models, using small and large data sets, with pocket calculators or computers.

Applied regression analysis: a research tool. — 2nd ed. / John O. Rawlings, Sastry G. Pentula, David A. Dickey. p. cm. — (Springer texts in statistics) Includes bibliographical references and indexes. ISBN 0-387-98454-2 (hardcover: alk. paper) 1. regression analysis. I. Pentula, Sastry G. II. Dickey, David A. III. Title. IV. Series. QA278.2 ...

Oct 13, 2021 · Regression analysis, Regression analysis -- Graphic methods Publisher Pacific Grove, Calif. : Brooks/Cole Pub. Co. Collection internetarchivebooks; printdisabled Contributor Internet Archive Language English Item Size 711.9M

Sep 16, 1998 · Regression Graphics, one of the first graduate-level textbooks on the subject, demonstrates how statisticians, both theoretical and applied, can use these exciting innovations.

This textbook is about regression, the study of how a response variable de- pends on one or more predictors.

Jul 23, 1999 · A step-by-step guide to computing and graphics in regression analysis In this unique book, leading statisticians Dennis Cook and Sanford Weisberg expertly blend regression fundamentals and cutting-edge graphical techniques.

linear models (GLMs) are powerful tools in applied statistics that extend the ideas of multiple linear regression and analysis of variance to include response variables that are not normally distributed.

Jan 7, 2014 · This site includes resources that can help you learn and use the methods that are discussed in Applied Linear Regression, Fourth Edition by Sanford Weisberg, available as a book or an ebook from Wiley (ISBN 978-1-118-38608-8).