8th Annual International Conference on Statistics, 30 June & 1-3 July 2014, Athens, Greece , 2014-06-30

Title : ( Inference based on unified hybrid censored data for weibull distribution )

Authors: Arezou Habibirad , فاطمه یوسف زاده ,

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Unified hybrid censoring is a mixture of generalized Type-I and Type-II hybrid censoring schemes. This article presents the statistical inferences on Weibull parameters when the data are unified hybrid censored. It is observed that the maximum likelihood estimators cannot be obtained in closed form. We propose to use the numerical solution and EM algorithm to compute the maximum likelihood estimators. We obtain the observed Fisher information matrix using the missing information principle and it can be used for constructing the asymptotic confidence intervals. We also obtain the Bayes estimates of the unknown parameters under the assumption of independence using the Gibbs sampling procedure. Simulations are performed to compare the performances of the different methods and for illustrative purposes we have analyzed one data set.

Keywords

, Bayes estimatores, EM algorithm, Gibbs sampling, Maximum likelihood estimators, Unified hybrid
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@inproceedings{paperid:1038162,
author = {Habibirad, Arezou and فاطمه یوسف زاده},
title = {Inference based on unified hybrid censored data for weibull distribution},
booktitle = {8th Annual International Conference on Statistics, 30 June & 1-3 July 2014, Athens, Greece},
year = {2014},
location = {آتن},
keywords = {Bayes estimatores; EM algorithm; Gibbs sampling; Maximum likelihood estimators; Unified hybrid censoring.},
}

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%0 Conference Proceedings
%T Inference based on unified hybrid censored data for weibull distribution
%A Habibirad, Arezou
%A فاطمه یوسف زاده
%J 8th Annual International Conference on Statistics, 30 June & 1-3 July 2014, Athens, Greece
%D 2014

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