
Regression Diagnostics
Identifying Influential Data and Sources of Collinearity
Wiley (Publisher)
Published on 24. August 2004
Book
Paperback/Softback
292 pages
978-0-471-69117-4 (ISBN)
Description
Provides practicing statisticians and econometricians with new tools for assessing quality and reliability of regression estimates. Diagnostic techniques are developed that aid in the systematic location of data points that are unusual or inordinately influential, and measure the presence and intensity of collinear relations among the regression data and help to identify variables involved in each and pinpoint estimated coefficients potentially most adversely affected. Emphasizes diagnostics and includes suggestions for remedial action.
More details
Product info
Paperback
Series
Edition
1. Auflage
Language
English
Place of publication
United States
Publishing group
John Wiley & Sons Inc
Target group
Professional and scholarly
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 229 mm
Width: 152 mm
Thickness: 19 mm
Weight
522 gr
ISBN-13
978-0-471-69117-4 (9780471691174)
Schweitzer Classification
Other editions
Additional editions

David A. Belsley | Edwin Kuh | Roy E. Welsch
Regression Diagnostics
Identifying Influential Data and Sources of Collinearity
E-Book
02/2005
Wiley
€139.99
Available for download

David A. Belsley | Edwin Kuh | Roy E. Welsch
Regression Diagnostics
Identifying Influential Data and Sources of Collinearity
Book
07/1980
Wiley
€132.46
Article exhausted; check different version
Persons
David A. Belsley, PhD, is Professor in the Department of Economics at Boston College in Newtonville, Massachusetts.
Edwin Kuh, PhD, is Professor in the Department of Economics at Boston College in Newtonville, Massachusetts.
Roy E. Welsch, PhD, is Professor of Statistics and Management at the Sloan School of Management at the Massachusetts Institute of Technology.
Content
1. Introduction and Overview.
2. Detecting Influential Observations and Outliers.
3. Detecting and Assessing Collinearity.
4. Applications and Remedies.
5. Research Issues and Directions for Extensions.
Bibliography.
Author Index.
Subject Index.