On nomenclature for, and the relative merits of, two formulations of skew distributions

被引：14

作者：

Azzalini, Adelchi ^{[1
]}

Browne, Ryan P. ^{[2
]}

Genton, Marc G. ^{[3
]}

McNicholas, Paul D. ^{[4
]}

机构：

[1] Univ Padua, Dept Stat Sci, I-35121 Padua, Italy

[2] Univ Waterloo, Dept Stat & Actuarial Sci, Waterloo, ON N2L 3G1, Canada

[3] King Abdullah Univ Sci & Technol, CEMSE Div, Thuwal 239556900, Saudi Arabia

[4] McMaster Univ, Dept Math & Stat, Hamilton, ON L8S 4L8, Canada

来源：

STATISTICS & PROBABILITY LETTERS | 2016年 / 110卷

关键词：

Flexibility; Model-based clustering; Multivariate distribution; Skew-normal distribution; Skew-t distribution; MULTIVARIATE;

D O I：

10.1016/j.spl.2015.12.008

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：

We examine some skew distributions used extensively within the model-based clustering literature in recent years, paying special attention to claims that have been made about their relative efficacy. Theoretical arguments are provided as well as real data examples. (C) 2015 Elsevier B.V. All rights reserved.

引用

页码：201 / 206

页数：6

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[Anonymous], 2014, IMS Monographs

[2]

[Anonymous], EMMIXSKEW EM ALGORIT

[3]

[Anonymous], CANAD J STAT

[4] Statistical applications of the multivariate skew normal distribution [J].