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Regression Diagnostics: Identifying Influential Data and Sources of Collinearity by David A. Belsley (Newtonville, MA, USA) at Abbey's Bookshop,
Regression Diagnostics: Identifying Influential Data and Sources of Collinearity
— —
David A. Belsley (Newtonville, MA, USA) Edwin Kuh (Boston College, MA, USA)

Regression Diagnostics

Identifying Influential Data and Sources of Collinearity

David A. Belsley (Newtonville, MA, USA),  Edwin Kuh (Boston College, MA, USA),  Roy E. Welsch (MIT Sloan School of Management, Cambridge, MA, USA)

$286.95

Paperback

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English
Wiley-Interscience
26 July 2004
Probability & statistics
Series: Wiley Series in Probability and Statistics
The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists.

""The title of the book more or less sums up the contents. It appears to me to represent a real breakthrough in the art of dealing in ‘unconventional’ data. . . . I found the whole book both readable and enjoyable. It is suitable for data analysts, academic statisticians, and professional software writers.""

–Journal of the Royal Statistical Society

""The book assumes a working knowledge of all of the principal results and techniques used in least squares multiple regression, as expressed in vector and matrix notation. Given this background, the book is clear and easy to use. . . . The techniques are illustrated in great detail with practical data sets from econometrics.""

–Short Book Reviews, International Statistical Institute

Regression Diagnostics: Identifying Influential Data and Sources of Collinearity 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; 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. The book emphasizes diagnostics and includes suggestions for remedial action
By:   , , , , , , ,
Imprint:   Wiley-Interscience
Country of Publication:   United States
Edition:   New edition
Dimensions:   Height: 232mm,  Width: 154mm,  Spine: 16mm
Weight:   397g
ISBN:   9780471691174
ISBN 10:   0471691178
Series:   Wiley Series in Probability and Statistics
Pages:   320
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active
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.  

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.

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