Nonparametric notions of multivariate "scatter measure" and "more scattered" based on statistical depth functions

被引:22
作者
Zuo, YJ [1 ]
Serfling, R
机构
[1] Arizona State Univ, Tempe, AZ 85287 USA
[2] Univ Texas Dallas, Dallas, TX 75230 USA
关键词
scatter measure; more scattered; statistical depth functions; multivariate; nonparametric; statistical inference; halfspace depth;
D O I
10.1006/jmva.1999.1894
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
Nonparametric notions of multivariate "scatter measure" and "more scattered," based on statistical depth functions, are investigated. In particular, notions of "more scattered" based on the "halfspace" depth function are shown to generalize versions introduced by P. J. Bickel and E. L. Lehmann (1976, 1979) in the univariate case and by M. L. Eaten (1982) and H. Oja (1983) in the multivariate cast. Scatter measures are also discussed. with emphasis on those based on the halfspace depth. Basic desirable properties established for the previous versions of "more scattered" are shown to carry over to the depth-based notions as well, in both the univariate and the multivariate cases. Further, some properties unique to the depth-based notions are established. (C) 2000 Academic Press.
引用
收藏
页码:62 / 78
页数:17
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