Sensitivity Analysis in Linear RegressionISBN: 978-0-471-82216-5
Hardcover
315 pages
March 1988
 This is a Print-on-Demand title. It will be printed specifically to fill your order. Please allow an additional 10-15 days delivery time. The book is not returnable.
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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.
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