Estimation of the Rayleigh Distribution under Unified Hybrid Censoring

IF 0.6 Q4 STATISTICS & PROBABILITY
Y. Jeon, Suk-Bok Kang
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引用次数: 6

Abstract

We derive some estimators of the scale parameter of the Rayleigh distribution under the unified hybrid censoring scheme. We also derive some estimators of the reliability function and the entropy of the Rayleigh distribution. First, we obtain the maximum likelihood estimator of the scale parameter. Second, we obtain the Bayes estimator using the mean of the posterior distribution. Lastly, we obtain the Bayes estimator using the mode of the posterior distribution. We also derive the interval estimation (confidence interval, credible interval, and HPD credible interval) for the scale parameter under the unified hybrid censoring scheme. We compare the proposed estimators in the sense of the mean squared error through Monte Carlo simulation. Coverage probability and average lengths of 95% and 90% intervals are obtained.
统一混合滤波下的瑞利分布估计
给出了统一混合滤波方案下瑞利分布尺度参数的估计。我们还得到了可靠度函数和瑞利分布熵的一些估计。首先,我们得到了尺度参数的极大似然估计。其次,利用后验分布的均值得到贝叶斯估计量。最后,利用后验分布的模式得到贝叶斯估计量。给出了统一混合滤波方案下尺度参数的区间估计(置信区间、可信区间和HPD可信区间)。我们通过蒙特卡罗模拟比较了所提出的估计量在均方误差意义上的差异。得到了95%和90%区间的覆盖概率和平均长度。
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来源期刊
Austrian Journal of Statistics
Austrian Journal of Statistics STATISTICS & PROBABILITY-
CiteScore
1.10
自引率
0.00%
发文量
30
审稿时长
24 weeks
期刊介绍: The Austrian Journal of Statistics is an open-access journal (without any fees) with a long history and is published approximately quarterly by the Austrian Statistical Society. Its general objective is to promote and extend the use of statistical methods in all kind of theoretical and applied disciplines. The Austrian Journal of Statistics is indexed in many data bases, such as Scopus (by Elsevier), Web of Science - ESCI by Clarivate Analytics (formely Thompson & Reuters), DOAJ, Scimago, and many more. The current estimated impact factor (via Publish or Perish) is 0.775, see HERE, or even more indices HERE. Austrian Journal of Statistics ISNN number is 1026597X Original papers and review articles in English will be published in the Austrian Journal of Statistics if judged consistently with these general aims. All papers will be refereed. Special topics sections will appear from time to time. Each section will have as a theme a specialized area of statistical application, theory, or methodology. Technical notes or problems for considerations under Shorter Communications are also invited. A special section is reserved for book reviews.
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