Permanents, order statistics, outliers, and robustness

被引：0

作者：

Balakrishnan, N. ^{[1
]}

机构：

[1] McMaster Univ, Dept Math & Stat, Hamilton, ON L8S 4K1, Canada

来源：

REVISTA MATEMATICA COMPLUTENSE | 2007年 / 20卷 / 01期

关键词：

order statistics; permanents; log-concavity; outliers; single-outlier model; multiple-outlier model; recurrence relations; robust estimators; sensitivity; bias; mean square error; location-outlier; scale-outlier; censoring; progressive Type-II censoring; ranked set sampling;

D O I：

暂无

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

In this paper, we consider order statistics and outlier models, and focus primarily on multiple-outlier models and associated robustness issues. We first synthesise recent developments on order statistics arising from independent and non-identically distributed random variables based primarily on the theory of permanents. We then highlight various applications of these results in evaluating the robustness properties of several linear estimators when multiple outliers are possibly present in the sample.

引用

页码：7 / 107

页数：101

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