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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 Model Approach.
Computational Considerations.
Appendix: Summary of Vector and Matrix Norms, Proofs of Three Theorems.
Refernces.
Index.
| Price | Condition | Delivery | Seller | Action |
| $184.80 | Digital |
| WonderClub |
Paul Stevens
reviewed Sensitivity Analysis Linear Regression on January 15, 2014
Sensitivity Analysis Linear Regression
A good book in content and diverse information, but the author needs to explain processes better, many topics needed more details to flesh-out his message.
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Add Sensitivity Analysis Linear Regression, 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, Sensitivity Analysis Linear Regression to the inventory that you are selling on WonderClubX
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Add Sensitivity Analysis Linear Regression, 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, Sensitivity Analysis Linear Regression to your collection on WonderClub |