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Estimation for the half-logistic distribution based on multiply Type-II hybrid censoring.
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- Author(s): Jeon, Young Eun1 (AUTHOR); Kang, Suk-Bok1 (AUTHOR)
- Source:
Physica A. Jul2020, Vol. 550, pN.PAG-N.PAG. 1p.- Subject Terms:
- Source:
- Additional Information
- Abstract: In this paper, some estimators of the scale parameter of the half-logistic distribution are derived under the multiply Type-II hybrid censoring scheme. We propose three methods. First, we obtain the maximum likelihood estimator of the scale parameter of the half-logistic distribution. Second, we propose some approximate maximum likelihood estimators of the scale parameter by employing three different types of Taylor series expansions. Lastly, we obtain the Bayes estimators by employing some prior distributions and loss functions. The interval estimations such as the asymptotic confidence interval and the credible interval and the highest posterior density interval are obtained. To assess the performance of the proposed estimators, we obtain the mean squared error, average length of 95% interval and coverage probability through Monte Carlo simulation and applies to the real dataset. • The multiply Type-II hybrid censoring scheme (MTHCS-II) is considered. • Some estimators of the scale parameter are obtained under MTHCS-II. • The interval estimations are also derived under MTHCS-II. • The proposed estimators are compared through Monte Carlo simulation. [ABSTRACT FROM AUTHOR]
- Abstract: Copyright of Physica A is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Abstract:
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