Sensitivity analysis in 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 is not accounted for in a standard least squ...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | eBook |
| Language: | English |
| Language Notes: | English. |
| Published: |
New York :
Wiley,
©1988.
|
| Series: | Wiley series in probability and mathematical statistics. Applied probability and statistics.
|
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- 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
- references
- Index.