Items related to Sensitivity Analysis in Linear Regression
Synopsis
Treats linear regression diagnostics as a tool for application of linear regression models to real-life data. Presentation makes extensive use of examples to illustrate theory. Assesses the effect of measurement errors on the estimated coefficients, which is not accounted for in a standard least squares estimate but is important where regression coefficients are used to apportion effects due to different variables. Also assesses qualitatively and numerically the robustness of the regression fit.
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About the Author
SAMPRIT CHATTERJEE, PhD, is Professor Emeritus of Statistics at New York University. A Fellow of the American Statistical Association, Dr. Chatterjee has been a Fulbright scholar in both Kazhakstan and Mongolia. He is the coauthor of Sensitivity Analysis in Linear Regression and A Casebook for a First Course in Statistics and Data Analysis, both published by Wiley.
ALI S. HADI, PhD, is a Distinguished University Professor and former vice provost at the American University in Cairo (AUC). He is the founding Director of the Actuarial Science Program at AUC. He is also a Stephen H. Weiss Presidential Fellow and Professor Emeritus at Cornell University. Dr. Hadi is the author of four other books, a Fellow of the American Statistical Association, and an elected Member of the International Statistical Institute.
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- PublisherWiley
- Publication date1988
- ISBN 10 0471822167
- ISBN 13 9780471822165
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages315
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Sensitivity Analysis in Linear Regression
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ISBN 10: 0471822167
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Sensitivity Analysis in Linear Regression
Published by
Wiley & Sons, Incorporated, John, 1988
ISBN 10: 0471822167
ISBN 13: 9780471822165
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Sensitivity Analysis in Linear Regression (Hardcover)
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ISBN 10: 0471822167
ISBN 13: 9780471822165
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Hardcover. Condition: new. Hardcover. Treats linear regression diagnostics as a tool for application of linear regression models to real-life data. Presentation makes extensive use of examples to illustrate theory. Assesses the effect of measurement errors on the estimated coefficients, which is not accounted for in a standard least squares estimate but is important where regression coefficients are used to apportion effects due to different variables. Also assesses qualitatively and numerically the robustness of the regression fit. This volume treats linear regression diagnostics as a tool for the application of linear regression models to real-life data. The presentation makes extensive use of examples to illustrate theory. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780471822165
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