Covariance matrices associated to general moments of a random vector
Songjun Lv
Journal of Multivariate Analysis, 2015, vol. 134, issue C, 61-70
Abstract:
It turns out that there exist general covariance matrices associated not only to a random vector itself but also to its general moments. In this paper we introduce and characterize general covariance matrices of a random vector that are associated to some important general moments, which are determined by a specific class of convex functions. As special cases, the original covariance matrices of a random vector, as well as the pth covariance matrices characterized recently, are included. The covariance matrices associated to the p-power function distribution and the logistic distribution are characterized as by-products.
Keywords: Covariance matrix; Gaussian gauge; Power function distribution; Logistic distribution; Characterization (search for similar items in EconPapers)
Date: 2015
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0047259X14002346
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:jmvana:v:134:y:2015:i:c:p:61-70
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.jmva.2014.10.007
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 ().