Document Type

Article

Publication Date

2010

DOI

10.18187/pjsor.v6i1.143

Publication Title

Pakistan Journal of Statistics and Operation Research

Volume

6

Issue

1

Pages

1-19 pp.

Abstract

In this paper, fundamental results of the joint distribution of the bivariate exponential distributions are established. The positive support multivariate distribution theory is important in reliability and survival analysis, and we applied it to the case where more than one failure or survival is observed in a given study. Usually, the multivariate distribution is restricted to those with marginal distributions of a specified and familiar lifetime family. The family of exponential distribution contains the absolutely continuous and discrete case models with a nonzero probability on a set of measure zero. Examples are given, and estimators are developed and applied to simulated data. Our findings generalize substantially known results in the literature, provide flexible and novel approach for modeling related events that can occur simultaneously from one based event.

Comments

Article is open access under terms of the CC BY license. This license allows re-users to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.

Original Publication Citation

Diawara, N. & Das, K. P. (2010). The joint distribution of bivariate exponential under linearly related model. Pakistan Journal of Statistics and Operation Research, 6(1), 1-19. https://doi.org/10.18187/pjsor.v6i1.143

ORCID

0000-0002-8403-6793 (Diawara)

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