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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2023/2024

Robust statistics

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Code Completion Credits Range Language
D01RS ZK 1P+1S Czech
Garant předmětu:
Jana Nosková
Lecturer:
Jana Nosková
Tutor:
Supervisor:
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.

Requirements:
Syllabus of lectures:
Syllabus of tutorials:
Study Objective:
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

Note:
Time-table for winter semester 2023/2024:
Time-table is not available yet
Time-table for summer semester 2023/2024:
Time-table is not available yet
The course is a part of the following study plans:
Data valid to 2024-06-23
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