Editorial, special issue on "Advances in Robust Statistics"

被引：1

作者：

Riani, Marco ^{[1
,2
]}

Hubert, Mia ^{[3
]}

机构：

[1] Univ Parma, Dipartimento Sci Econ & Aziendali, Via Kennedy 6, I-43100 Parma, Italy

[2] Univ Parma, Interdept Ctr Robust Stat, Via Kennedy 6, I-43100 Parma, Italy

[3] Katholieke Univ Leuven, Sect Stat & Data Sci, Dept Math, Celestijnenlaan 200B, B-3001 Leuven, Belgium

来源：

METRON-INTERNATIONAL JOURNAL OF STATISTICS | 2021年 / 79卷 / 02期

关键词：

Outliers; Influence function; Breakdown point;

D O I：

10.1007/s40300-021-00213-w

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：

Starting with 2020 volume, the journal Metron has decided to celebrate the centenary since its foundation with three special issues. This volume is dedicated to robust statistics. A striking feature of most applied statistical analyses is the use of methods that are well known to be sensitive to outliers or to other departures from the postulated model. Robust statistical methods provide useful tools for reducing this sensitivity, through the detection of the outliers by first fitting the majority of the data and then by flagging deviant data points. The six papers in this issue cover a wide orientation in all fields of robustness. This editorial first provides some facts about the history and current state of robust statistics and then summarizes the contents of each paper.

引用

页码：121 / 125

页数：5

共 18 条

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Borroni C.G.
Cifarelli D.M.
[J]. METRON, 2017, 75 (1) : 17 - 29
[4] BOX GEP, 1953, BIOMETRIKA, V40, P318, DOI 10.1093/biomet/40.3-4.318
[5] Hampel F. R., 1986, Robust statistics: The approach based on influence functions
[6] Hoaglin D.C., 1983, UNDERSTANDING ROBUST
[7] Huber P. J., 2004, ROBUST STAT, V523, DOI 10.1002/0471725250
[8] Huber P. J., 2009, ROBUST STAT
[9] ROBUST ESTIMATION OF LOCATION PARAMETER
HUBER, PJ
[J]. ANNALS OF MATHEMATICAL STATISTICS, 1964, 35 (01): : 73 - &
[10] Maronna R.A., 2006, Robust Statistics: Theory and Methods, DOI DOI 10.1002/0470010940

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