Introduction to Robust and Quasi-Robust Statistical Methods

Contenu

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.