دورية أكاديمية

Estimation of the Rayleigh Distribution under Unified Hybrid Censoring

التفاصيل البيبلوغرافية
العنوان: Estimation of the Rayleigh Distribution under Unified Hybrid Censoring
المؤلفون: Young Eun Jeon, Suk-Bok Kang
المصدر: Austrian Journal of Statistics, Vol 50, Iss 1 (2021)
بيانات النشر: Austrian Statistical Society, 2021.
سنة النشر: 2021
المجموعة: LCC:Probabilities. Mathematical statistics
LCC:Statistics
مصطلحات موضوعية: Probabilities. Mathematical statistics, QA273-280, Statistics, HA1-4737
الوصف: 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1026-597X
Relation: http://www.ajs.or.at/index.php/ajs/article/view/990; https://doaj.org/toc/1026-597X
DOI: 10.17713/ajs.v50i1.990
URL الوصول: https://doaj.org/article/59323bb7b2164e28b0d02318a464bd91
رقم الأكسشن: edsdoj.59323bb7b2164e28b0d02318a464bd91
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:1026597X
DOI:10.17713/ajs.v50i1.990