Robust Estimation of the Correlation Coefficient: An Attempt of Survey
Various groups of robust estimators of the correlation coefficient are introduced. The performance of most prospective estimators is examined at contaminated normal distributions both on small and large samples, and the best of the proposed robust estimators are revealed.
Main Authors: | Georgy Shevlyakov, Pavel Smirnov |
---|---|
Format: | Article |
Language: | English |
Published: |
Austrian Statistical Society
2016-02-01
|
Series: | Austrian Journal of Statistics |
Online Access: | http://www.ajs.or.at/index.php/ajs/article/view/206 |
Similar Items
-
A Few Remarks on Robust Estimation of Power Spectra
by: Georgy Shevlyakov, et al.
Published: (2014-06-01) -
A Modification of Linfoot's Informational Correlation Coefficient
by: Georgy Shevlyakov, et al.
Published: (2017-04-01) -
Highly Efficient Robust and Stable <i>M</i>-Estimates of Location
by: Georgy Shevlyakov
Published: (2021-01-01) -
A Least Informative Distribution of Ranging Errors in Robust Estimation of Localization
by: Georgy Shevlyakov, et al.
Published: (2019-04-01) -
Robust estimation of the regression coefficients in complex surveys
by: Njenga, Edward Gachangi
Published: (1990)