Introduction to Robust and Quasi-Robust Statistical Methods [electronic resource] / by William J. J. Rey

Author	Rey, William J. J. author
Title	Introduction to Robust and Quasi-Robust Statistical Methods [electronic resource] / by William J. J. Rey
Imprint	Berlin, Heidelberg : Springer Berlin Heidelberg, 1983
Connect to	http://dx.doi.org/10.1007/978-3-642-69389-2
Descript	X, 238 p. online resource

CONTENT

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

SUBJECT

Mathematics
Applied mathematics
Engineering mathematics
Probabilities
Mathematics
Probability Theory and Stochastic Processes
Applications of Mathematics