A new family of positive quadrant dependent bivariate distributions

C. D. Lai and M. Xie

Statistics & Probability Letters, 2000, vol. 46, issue 4, 359-364

Abstract: Positive quadrant dependence (PQD) is a notion of bivariate dependence between two positively dependent random variables. Starting from the uniform representation of the Farlie-Gumbel-Morgenstern bivariate distribution, we derive and study a family of continuous bivariate distributions that possesses the PQD property. In particular, we show that this new parametric family of distributions can be ordered in the so-called "PQD order".

Keywords: Bivariate; distribution; Bivariate; dependence; ordering; F-G-M; copula; Positive; quadrant; dependent (search for similar items in EconPapers)
Date: 2000
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(99)00122-4
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:46:y:2000:i:4:p:359-364

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 ().