A note on Slepian’s inequality based on majorization
Ying Ding and
Xinsheng Zhang
Statistics & Probability Letters, 2017, vol. 124, issue C, 132-139
Abstract:
In this paper, we generalize Slepian’s inequality based on majorization. We obtain some sufficient conditions for ordering results of multivariate normal distributions with different variance vectors and different correlation coefficients. It is shown these conditions are also necessary in some cases.
Keywords: Slepian’s inequality; Majorization; Multivariate normal distribution (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167715217300330
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:124:y:2017:i:c:p:132-139
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
DOI: 10.1016/j.spl.2017.01.010
Access Statistics for this article
Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul
More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().