Regression Diagnostics by David A.Belsey
Description
Regression Diagnosis by David A. Belsi
The Wiley-Interscience paperback series consists of select books that have been made more accessible to consumers in an effort to increase global appeal and overall circulation. With these new unabridged paperback volumes, Wylie hopes to extend the life of this work by making it available to future generations of statisticians, mathematicians and scientists.
– The title of the book more or less reflects its content. It seems to me that this is a real breakthrough in the art of working with “non-traditional” data. … I found the entire book to be readable and enjoyable at the same time. It is suitable for data analysts, academic statisticians and professional software developers. ”
–Journal of the Royal Statistical Society
“This book assumes a working knowledge of all the basic results and methods used in multiple least squares regression, 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 datasets from econometrics. ”
–Brief Review of Books, International Statistical Institute
Regression Diagnosis: Identifying Influential Data and Sources of Collinearity provides practicing statisticians and econometricians with new tools to assess the quality and reliability of regression estimates. Diagnostic techniques are being developed to help systematically identify data points that are unusual or overly influential; measure the presence and intensity of collinear relationships between regression data; and also help to identify the variables involved in each of them, and to accurately determine the estimated coefficients that are potentially most adverse. The book focuses on diagnosis and contains suggestions for corrective action.
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Course Features
- Lectures 0
- Quizzes 0
- Duration Lifetime access
- Skill level All levels
- Language English
- Students 186
- Assessments Yes
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