Robust statistics
Code | Completion | Credits | Range | Language |
---|---|---|---|---|
D01RS | ZK | 1P+1S | Czech |
- Course guarantor:
- Jana Nosková
- Lecturer:
- Jana Nosková
- Tutor:
- Supervisor:
- Department of Mathematics
- Synopsis:
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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:
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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 2024/2025:
- Time-table is not available yet
- Time-table for summer semester 2024/2025:
- Time-table is not available yet
- The course is a part of the following study plans: