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Parameter Estimation of Power Lindley Distribution under Hybrid Censoring |
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PP: 95-104 |
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Author(s) |
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Bhupendra Singh,
Puneet Kumar Gupta,
Vikas Kumar Sharma,
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Abstract |
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| The present study deals with the classical and Bayesian estimation of the hybrid censored
lifetime data under the assumption that the lifetimes follow the power Lindley distribution. By assuming
Jeffrey’s invariant and gamma priors of the unknown parameters, Bayes estimates along with posterior standard
error and highest posterior density credible intervals of the parameters are obtained. A Markov Chain Monte
Carlo technique such as Metropolis-Hastings algorithm has been utilized to generate draws from the posterior
density of the parameters. A real data set has been analyzed for illustration purpose. |
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