On the identifiability of multivariate survival distribution functions

Nader Ebrahimi

Journal of Multivariate Analysis, 1988, vol. 25, issue 2, 164-173

Abstract: Let (T1, T2) be a non-negative random vector which is subjected to censoring random intervals [X1, Y1] and [X2, Y2]. The censoring mechanism is such that the available informations on T1 and T2 are expressed by a pair of random vectors W=(W1, W2) and [delta]=([delta]1, [delta]2), where Wi=max(min(Yi, Ti), Xi) and In this paper we will show that under some mild conditions the joint survival function of T1 and T2 can be expressed uniquely as functional of observable joint survival functions. Our results extend recent works on the randomly right censored bivariate data case and on the univariate problem with double censoring to the bivariate data with double censoring.

Keywords: Identifiability; of; distributions; censored; data; multivariate; distributions (search for similar items in EconPapers)
Date: 1988
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0047-259X(88)90046-2
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:25:y:1988:i:2:p:164-173

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 ().