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portada Regression Diagnostics: Identifying Influential Data and Sources of Collinearity
Type
Physical Book
Year
general_2004
Language
general_ingles_
Pages
general_292
Format
Paperback
Dimensions
general_229_x_152_x_18_cm
Weight
general_047_kg
ISBN13
general_9780471691174

Regression Diagnostics: Identifying Influential Data and Sources of Collinearity

David A. Belsley (Author) · Edwin Kuh (Author) · Roy E. Welsch (Author) · Wiley-Interscience · Paperback

Regression Diagnostics: Identifying Influential Data and Sources of Collinearity - Belsley, David A. ; Kuh, Edwin ; Welsch, Roy E.

Physical Book

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Synopsis "Regression Diagnostics: Identifying Influential Data and Sources of Collinearity"

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

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