Inference on P(Y < X) Based on Ranked Set Sample for Generalized Pareto Distribution
DOI:
https://doi.org/10.6092/issn.1973-2201/10480Keywords:
Ranked set sample, Generalised Pareto distribution, Maximum likelihood estimator, Bayesian estimatorAbstract
In this paper, the problem of estimation of R = P(Y < X) based on ranked set sampling, when (X,Y) follows generalised Pareto distribution (GPD) is considered. The maximum likelihood (ML) estimators and Bayes estimators of R are obtained. A Monte Carlo simulation is also performed to study the behaviour of different estimators.
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