Research Catalog

Applied linear regression

Title
Applied linear regression / Sanford Weisberg.
Author
Weisberg, Sanford, 1947-
Publication
Hoboken, N.J. : Wiley-Interscience, ©2005.

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StatusFormatAccessCall NumberItem Location
Book/TextUse in library QA278.2 .W44 2005Off-site

Details

Description
xvi, 310 pages : illustrations; 25 cm.
Summary
"Applied Linear Regression, Third Edition has been thoroughly updated to help students master the theory and applications of linear regression modeling. Focusing on model building, assessing fit and reliability, and drawing conclusions, the text demonstrates how to develop estimation, confidence, and testing procedures primarily through the use of least squares regression. To facilitate quick learning, the Third Edition stresses the use of graphical methods in an effort to find appropriate models and to better understand them. In that spirit, most analyses and homework problems use graphs for the discovery of structure as well as for the summarization of results." "With its focus on graphical methods and analysis, coupled with many practical examples and exercises, this is an excellent textbook for upper-level undergraduates and graduate students, who will quickly learn how to use linear regression analysis techniques to solve and gain insight into real-life problems."--Jacket.
Series Statement
Wiley series in probability and statistics
Uniform Title
Wiley series in probability and statistics.
Subject
  • Regression analysis
  • Regression Analysis
  • 31.73 mathematical statistics
  • Lineaire regressie
  • Regressieanalyse
  • Analyse de régression
  • Régression linéaire
Genre/Form
Textbooks (form)
Bibliography (note)
  • Includes bibliographical references (p. 293-299) and indexes.
Contents
Scatterplots and regression -- Simple linear regression -- Multiple regression -- Drawing conclusions -- Weights, lack of fit, and more -- Polynomials and factors -- Transformations -- Regression diagnostics : residuals -- Outliers and influence -- Variable selection -- Nonlinear regression -- Logistic regression.
ISBN
  • 0471663794
  • 9780471663799
  • 9780471704089
  • 0471704083
LCCN
  • 2004050920
  • 9780471663799
OCLC
  • ocm55633953
  • 55633953
  • SCSB-1409074
Owning Institutions
Princeton University Library