Robust statistics

The course is not on the list Without time-table

Code	Completion	Credits	Range	Language
D01RS	ZK		1P+1S	Czech

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Department of Mathematics

Synopsis:

Robust statistics deals with statistical methods which are not sensitive to small depatrures from model assumptions. Robust statistics became a part of mainstream statistics only a few years ago yet it is implemented in many statistical softwars.

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Study materials:

Ricardo A. Maronna, R. Douglas Martin, Victor J. Yohai, Matías Salibián-Barrera, Robust Statistics: Theory and Methods (with R), 2nd Edition

ISBN: 978-1-119-21466-3 October 2018 464 Pages

Jureckova,J. (2001) Robustni statisticke metody, Karolinum Praha

Rousseeuw,P.J., Leroy,A. (1987) Robust Regression and Outlier Detection. Wiley, New York

Huber,P.J. (1981) Robust Statistics.Wiley,New York

Hampel,F.R.,Ronchetti, E.M.,Rousseeuw, P.J.,Stahel,W.A. (1986) Robust Statistics: The Approach Based on Influence Functions. Wiley,New York

Dodge,Y., Jureckova,J. (2000) Adaptive Regression. Springer, New York

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