Some inference results in bivariate exponential distributions rased on censored samples
Authors:
David D. Hanagal
Abstract:
In this paper, two bivariate exponential distributions based on time(right) censored samples are presented. We assume that the censoring time is independent of the life-times of the two components. This paper obtains comparison of different tests for testing zero and non-zero values of the parameter λ3 which measures the degree of dependence between the two components and also testing symmetry of the two components or λ1=λ2 in the bivariate exponential distribution (BVED) formulated by Marshall and Olkin (1967) based on the above censored sample. It is observed from simulated study that the test based on MLE's performs better in both tests of independence as well as symmetry. The above results have been extended also in Block and Basu (19874) model.