INFERENCE FOR KUMARASWAMY DISTRIBUTION UNDER TYPE-I GENERALIZED HYBRID CENSORING
Keywords:
Maximum likelihood, Bayes Estimate, gamma priors, credible intervals, importance samplingAbstract
In this paper, the estimation of the parameters of Kumaraswamy distribution is carried out in the presence of a Type-I
generalized hybrid censoring scheme.Maximum likelihood estimators (MLEs) and Bayes estimators of the parameters are
derived. For Bayesian estimation, an importance sampling method is used. Confidence intervals based on MLEs and Bayes
credible intervals for the parameters are also obtained. A Simulation study is carried out to check the behavior of the proposed
estimators. From the simulation study, we observed that Bayes estimators perform better than the
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Published
2024-06-05
How to Cite
Dhamecha, P. H., & Patel, M. (2024). INFERENCE FOR KUMARASWAMY DISTRIBUTION UNDER TYPE-I GENERALIZED HYBRID CENSORING. Investigación Operacional, 42(4). Retrieved from https://revistas.uh.cu/invoperacional/article/view/9194
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