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On Robust Estimation of Error Variance in (Highly) Robust Regression Cover

On Robust Estimation of Error Variance in (Highly) Robust Regression

Measurement Science Review
Volume 20 (2020): Issue 1 (February 2020)
By: Jan Kalina and  Jan Tichavský  
Open Access
|Feb 2020

Authors

Jan Kalina

kalina@cs.cas.cz

The Czech Academy of Sciences, Institute of Computer Science, Praha 8
The Czech Academy of Sciences, Institute of Information Theory and Automation, Praha 8

Jan Tichavský

The Czech Academy of Sciences, Institute of Computer Science, Praha 8
DOI: https://doi.org/10.2478/msr-2020-0002 | Journal eISSN: 1335-8871
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Language: English
Page range: 6 - 14
Submitted on: Sep 10, 2019
|
Accepted on: Jan 25, 2020
|
Published on: Feb 24, 2020
Published by: Slovak Academy of Sciences, Institute of Measurement Science
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
High robustness,
robust regression,
outliers,
variance of errors,
least weighted squares,
simulation
Related subjects:
Engineering,
Electrical engineering,
Control engineering, metrology and testing

© 2020 Jan Kalina, Jan Tichavský, published by Slovak Academy of Sciences, Institute of Measurement Science
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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