Introduction to Robust and Quasi-Robust Statistical Methods

Inhaltsverzeichnis

• 1. Introduction and Summary.
• 1.1. History and main contributions.
• 1.2. Why robust estimations?.
• 1.3. Summary.
• A The Theoretical Background.
• 2. Sample spaces, distributions, estimators.
• 3. Robustness, breakdown point and influence function.
• 4. The jackknife method.
• 5. Bootstrap methods, sampling distributions.
• B.
• 6. Type M estimators.
• 7. Type L estimators.
• 8. Type R estimator.
• 9. Type MM estimators.
• 10. Quantile estimators and confidence intervals.
• 11. Miscellaneous.
• 12. References.
• 13. Subject index.