EconPapers    
Economics at your fingertips  
 

A characterization of multivariate normal distribution and its application

Zhen-Hai Yang, Kai-Tai Fang and Jia-Juan Liang

Statistics & Probability Letters, 1996, vol. 30, issue 4, 347-352

Abstract: Let X1, X2, ..., Xn be i.i.d. d-dimensional random vectors with a continuous density. Let and . In this paper we find that the distribution of Zk (or Yk) can be used for characterizing multivariate normal distribution. This characterization can be employed for testing multivariate normality in terms of the so-called transformation method.

Keywords: Characterization; of; multinormality; Multivariate; normal; distribution; spherical; distribution (search for similar items in EconPapers)
Date: 1996
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(95)00238-3
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:30:y:1996:i:4:p:347-352

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

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 ().

 
Page updated 2025-03-19
Handle: RePEc:eee:stapro:v:30:y:1996:i:4:p:347-352