Open Access Open Access  Restricted Access Subscription or Fee Access

On Type-II Hybrid Censored two Parameter Rayleigh Distribution

Abhimanyu Singh Yadav, Min Yang


In life testing experiments, the most common censoring schemes are Type-I and Type-II censoring schemes. The hybrid censoring scheme is the mixture of Type-I and Type-II censoring scheme and presently has received considerable attention in the statistical literature. In this paper, we proposed the estimation of parameters of two Parameter Rayleigh distribution based on Type-II hybrid censored data. The maximum likelihood estimators and Bayes estimators are developed for estimating the unknown parameters. Bayes estimates of the parameter are obtained under suitable priors on the unknown parameters by using Lindley’s approximation and Markov Chain Monte Carlo techniques. Further, 95% asymptotic confidence and highest posterior density credible intervals for the unknown parameters are also obtained. We perform Monte Carlo simulations to compare the performances of the estimators obtained under different methods and finally, one real data set is analyzed for the illustrative purpose of the considered study.


Type-II Hybrid censoring, Classical and Bayesian estimation, Approximation techniques

Full Text:


Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.