Exact inference for the two-parameter exponential distribution under Type-II hybrid censoring |
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Authors: | A. GangulyS. Mitra D. SamantaD. Kundu |
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Affiliation: | Department of Mathematics and Statistics, IIT Kanpur, Kanpur 208016, India |
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Abstract: | Epstein (1954) introduced the Type-I hybrid censoring scheme as a mixture of Type-I and Type-II censoring schemes. Childs et al. (2003) introduced the Type-II hybrid censoring scheme as an alternative to Type-I hybrid censoring scheme, and provided the exact distribution of the maximum likelihood estimator of the mean of a one-parameter exponential distribution based on Type-II hybrid censored samples. The associated confidence interval also has been provided. The main aim of this paper is to consider a two-parameter exponential distribution, and to derive the exact distribution of the maximum likelihood estimators of the unknown parameters based on Type-II hybrid censored samples. The marginal distributions and the exact confidence intervals are also provided. The results can be used to derive the exact distribution of the maximum likelihood estimator of the percentile point, and to construct the associated confidence interval. Different methods are compared using extensive simulations and one data analysis has been performed for illustrative purposes. |
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Keywords: | Hybrid censoring Two-parameter exponential distribution Joint moment generating function Maximum likelihood estimators Bootstrap confidence interval |
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