The minimum weighted covariance determinant estimator

被引:18
|
作者
Roelant, Ella [1 ]
Van Aelst, Stefan [1 ]
Willems, Gert [1 ]
机构
[1] Univ Ghent, Dept Appl Math & Comp Sci, B-9000 Ghent, Belgium
关键词
Robust estimation; Efficiency; Outlier detection; HIGH BREAKDOWN POINT; MULTIVARIATE LOCATION; SQUARES ESTIMATOR; S-ESTIMATORS; SCATTER; REGRESSION; MATRICES; EFFICIENCIES; DISPERSION;
D O I
10.1007/s00184-008-0186-3
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
In this paper, we introduce weighted estimators of the location and dispersion of a multivariate data set with weights based on the ranks of the Mahalanobis distances. We discuss some properties of the estimators like the breakdown point, influence function and asymptotic variance. The outlier detection capacities of different weight functions are compared. A simulation study is given to investigate the finite-sample behavior of the estimators.
引用
收藏
页码:177 / 204
页数:28
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