EconPapers    
Economics at your fingertips  
 

Sharp estimates for the CDF of quadratic forms of MPE random vectors

Jules Sadefo Kamdem

Journal of Multivariate Analysis, 2010, vol. 101, issue 8, 1755-1771

Abstract: In this paper we develop an efficient analytical expansion of the cumulative distribution function (cdf) where with n>=2, follows a multivariate power exponential distribution (MPE). Our approach provides a sharp estimate of the cumulative distribution function of a quadratic form of MPE, together with explicit error estimates.

Keywords: Quadratic; form; Non-Gaussian; Stationary; phase; Asymptotic; analysis; Multivariate; analysis; Random; vector (search for similar items in EconPapers)
Date: 2010
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/S0047-259X(10)00052-7
Full text for ScienceDirect subscribers only

Related works:
Working Paper: Sharp estimates for the CDF of quadratic forms of MPE random vectors (2010)
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:jmvana:v:101:y:2010:i:8:p:1755-1771

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

Journal of Multivariate Analysis is currently edited by de Leeuw, J.

More articles in Journal of Multivariate Analysis from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-31
Handle: RePEc:eee:jmvana:v:101:y:2010:i:8:p:1755-1771