A multivariate mixture of Weibull distributions in reliability modeling
Kaushik Patra and
Dipak K. Dey
Statistics & Probability Letters, 1999, vol. 45, issue 3, 225-235
Abstract:
A new class of multivariate distribution is derived where each component is a mixture of Weibull distribution. The approach in this paper is based on the introduction of an exponentially distributed latent random variable. The new class includes several multivariate and bivariate models including Marshall and Olkin type. The moment generating function and, hence, the correlation structure is obtained for the bivariate situation. The distribution of the minimum in a competing risk framework is discussed and various other properties including correlation structures are investigated.
Keywords: Competing; risk; Maximum; likelihood; estimation (search for similar items in EconPapers)
Date: 1999
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(99)00062-0
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:45:y:1999:i:3:p:225-235
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 ().