Efficiency of the pMST and RDELA location and scatter estimators

Autor:	Thomas Kirschstein, Steffen Liebscher
Rok vydání:	2014
Předmět:	Statistics and Probability Economics and Econometrics Multivariate statistics Applied Mathematics Modeling and Simulation Statistics Estimator Covariance Social Sciences (miscellaneous) Analysis Mathematics
Zdroj:	AStA Advances in Statistical Analysis. 99:63-82
ISSN:	1863-818X 1863-8171
DOI:	10.1007/s10182-014-0231-7
Popis:	The paper proposes two approaches to increase the efficiency of the pMST location and scatter estimator and of the RDELA location and scatter estimator. One approach is deduced from classical reweighting, commonly employed by established robust location and scatter estimators, and the other one is derived from Chebychev’s inequality. Simulation results suggest that both approaches are applicable to increase the efficiency of both estimators. Thereby the classical reweighting approach is outperformed by the approach based on Chebychev’s inequality. Using the latter, the performance of the pMST and RDELA estimator can be brought up to the level of the reweighted minimum covariance determinant and reweighted S-estimator.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c2e7a38faf913cb6ca9f1d6aee094039 https://doi.org/10.1007/s10182-014-0231-7 Zobrazit plný text záznamu Full text from SpringerLink