
Sensitivity Analysis in Linear Regression
Wiley (Publisher)
1st Edition
Will be published approx. on 27. April 1988
Book
Hardback
340 pages
978-0-471-82216-5 (ISBN)
Description
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.
More details
Series
Language
English
Place of publication
New York
United States
Target group
College/higher education
Professional and scholarly
Product notice
sewn/stitched
Cloth over boards
Dimensions
Height: 235 mm
Width: 157 mm
Thickness: 25 mm
Weight
705 gr
ISBN-13
978-0-471-82216-5 (9780471822165)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Samprit Chatterjee | Ali S. Hadi
Sensitivity Analysis in Linear Regression
E-Book
11/2009
Wiley
€223.99
Available for download
Persons
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.
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.
Content
The Prediction Matrix.
Role of Variables in a Regression Equation.
Effects of an Observation on a Regression Equation.
Assessing the Influence of Multiple Observations.
Joint Impact of a Variable and an Observation.
Assessing the Effect of Errors of Measurements.
A Study of Model Sensitivity by the Generalized Linear ModelApproach.
Computational Considerations.
Appendix: Summary of Vector and Matrix Norms, Proofs of ThreeTheorems.
Refernces.
Index.
Role of Variables in a Regression Equation.
Effects of an Observation on a Regression Equation.
Assessing the Influence of Multiple Observations.
Joint Impact of a Variable and an Observation.
Assessing the Effect of Errors of Measurements.
A Study of Model Sensitivity by the Generalized Linear ModelApproach.
Computational Considerations.
Appendix: Summary of Vector and Matrix Norms, Proofs of ThreeTheorems.
Refernces.
Index.