دورية أكاديمية

Objective Bayesian analysis for the accelerated degradation model using Wiener process with measurement errors

التفاصيل البيبلوغرافية
العنوان: Objective Bayesian analysis for the accelerated degradation model using Wiener process with measurement errors
المؤلفون: Daojiang He, Yunpeng Wang, Mingxiang Cao
المصدر: Statistical Theory and Related Fields, Vol 2, Iss 1, Pp 27-36 (2018)
بيانات النشر: Taylor & Francis Group, 2018.
سنة النشر: 2018
المجموعة: LCC:Probabilities. Mathematical statistics
مصطلحات موضوعية: accelerated degradation model, objective bayesian analysis, wiener process, measurement errors, jeffreys prior, reference prior, Probabilities. Mathematical statistics, QA273-280
الوصف: The Wiener process as a degradation model plays an important role in the degradation analysis. In this paper, we propose an objective Bayesian analysis for an acceleration degradation Wiener model which is subjected to measurement errors. The Jeffreys prior and reference priors under different group orderings are first derived, the propriety of the posteriors is then validated. It is shown that two of the reference priors can yield proper posteriors while the others cannot. A simulation study is carried out to investigate the frequentist performance of the approach compared to the maximum likelihood method. Finally, the approach is applied to analyse a real data.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2475-4269
2475-4277
24754269
Relation: https://doaj.org/toc/2475-4269; https://doaj.org/toc/2475-4277
DOI: 10.1080/24754269.2018.1466097
URL الوصول: https://doaj.org/article/f861e96d5920473daa4e0daa02a2d042
رقم الأكسشن: edsdoj.f861e96d5920473daa4e0daa02a2d042
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:24754269
24754277
DOI:10.1080/24754269.2018.1466097