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Understanding Regression Analysis

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  • © 1997

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Table of contents (39 chapters)

Keywords

About this book

By assuming it is possible to understand regression analysis without fully comprehending all its underlying proofs and theories, this introduction to the widely used statistical technique is accessible to readers who may have only a rudimentary knowledge of mathematics. Chapters discuss:

-descriptive statistics using vector notation and the components of a simple regression model;
-the logic of sampling distributions and simple hypothesis testing;
-the basic operations of matrix algebra and the properties of the multiple regression model; -testing compound hypotheses and the application of the regression model to the analyses of variance and covariance, and
-structural equation models and influence statistics.

Reviews

"Allen's book will, no doubt, earn the praises of statistics instructors and students alike...Provides the reader a thorough, yet lucid, journey through a variety of statistical concepts...This gem should be made a part of every prospective statistician's collection. Undergraduates through professional."
(Choice, March 1998)

Authors and Affiliations

  • Washington State University, Pullman

    Michael Patrick Allen

Bibliographic Information

  • Book Title: Understanding Regression Analysis

  • Authors: Michael Patrick Allen

  • DOI: https://doi.org/10.1007/b102242

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media New York 1997

  • Hardcover ISBN: 978-0-306-45648-0Published: 31 August 1997

  • Softcover ISBN: 978-0-306-48433-9Published: 31 May 2004

  • eBook ISBN: 978-0-585-25657-3Published: 23 November 2007

  • Edition Number: 1

  • Number of Pages: XII, 216

  • Topics: Social Sciences, general, Public Health

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