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Bayesian analysis for Type-II hybrid censored sample from inverse Weibull distribution

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Abstract

In this paper, we have discussed the Bayesian procedure for the estimation of the parameters of inverse Weibull distribution under Type-II hybrid censoring scheme. The highest posterior density credible intervals for the parameters have also been constructed. The performance of the Bayes estimators of the model parameters have been compared with maximum likelihood estimators through the Monte Carlo Markov chain techniques. Finally, two real data sets have been analysed for illustration purpose.

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Authors and Affiliations

  1. Department of Statistics and DST-CIMS, Banaras Hindu University, Varanasi, 221005, India

    Sanjay Kumar Singh, Umesh Singh & Vikas Kumar Sharma

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  1. Sanjay Kumar Singh
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  2. Umesh Singh
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  3. Vikas Kumar Sharma
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Correspondence to Vikas Kumar Sharma.

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Singh, S.K., Singh, U. & Sharma, V.K. Bayesian analysis for Type-II hybrid censored sample from inverse Weibull distribution. Int J Syst Assur Eng Manag 4, 241–248 (2013). https://doi.org/10.1007/s13198-013-0172-7

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  • DOI: https://doi.org/10.1007/s13198-013-0172-7

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