Regression Diagnostics P: Identifying Influential Data and Sources of Collinearity (Wiley Series in Probability and Statistics)

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9780471691174: Regression Diagnostics P: Identifying Influential Data and Sources of Collinearity (Wiley Series in Probability and Statistics)
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Reseña del editor:

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

Biografía del autor:

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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9780471058564: Regression Diagnostics: Identifying Influential Data and Sources of Collinearity (Probability & Mathematical Statistics)

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ISBN 10:  0471058564 ISBN 13:  9780471058564
Editorial: John Wiley & Sons Inc, 1980
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David A. Belsley, Edwin Kuh, Roy E. Welsch
Publicado por John Wiley and Sons Ltd, United States (2013)
ISBN 10: 0471691178 ISBN 13: 9780471691174
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Descripción John Wiley and Sons Ltd, United States, 2013. Paperback. Condición: New. 1. Auflage. Language: English . Brand New Book ***** Print on Demand *****.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. Nº de ref. del artículo: AAV9780471691174

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David A. Belsley
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David A. Belsley, Edwin Kuh, Roy E. Welsch
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Descripción John Wiley and Sons Ltd, United States, 2013. Paperback. Condición: New. 1. Auflage. Language: English . Brand New Book ***** Print on Demand *****. 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. Nº de ref. del artículo: AAV9780471691174

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David A. Belsley (author), Edwin Kuh (author), Roy E. Welsch (author)
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ISBN 10: 0471691178 ISBN 13: 9780471691174
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Descripción Wiley 2004-08-24, New York, 2004. paperback. Condición: New. Nº de ref. del artículo: 9780471691174

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David A. Belsley
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David A. Belsley, Edwin Kuh, Roy E. Welsch
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Descripción John Wiley and Sons Ltd, United States, 2013. Paperback. Condición: New. 1. Auflage. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. 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. Nº de ref. del artículo: LIE9780471691174

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David A. Belsley; Edwin Kuh; Roy E. Welsch
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David A. Belsley/ Edwin Kuh/ Roy E. Welsch
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Descripción Wiley-Interscience, 2004. Paperback. Condición: Brand New. 310 pages. 9.00x6.00x0.75 inches. In Stock. Nº de ref. del artículo: __0471691178

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Descripción John Wiley & Sons, 2004. Condición: New. This item is printed on demand for shipment within 3 working days. Nº de ref. del artículo: LP9780471691174

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