一类渐进式混合滤波的指数分布贝叶斯抽样方案设计

Q3 Engineering

International Journal of Information and Management Sciences Pub Date : 2014-12-01 DOI:10.6186/IJIMS.2014.25.4.1

T. Liang

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引用次数: 0

摘要

研究了一类渐进混合截尾样本的贝叶斯抽样方案设计问题。提出了贝叶斯抽样方案的算法A和算法B。将所提出的抽样方案与Lin和Huang的抽样方案的性能进行了比较。数值结果表明，所提出的抽样方案在关联贝叶斯风险方面的表现明显优于Lin和Huang的抽样方案。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Designing Bayesian Sampling Plans for Exponential Distributions with Type-II Progressive Hybrid Censoring

This article studies the problem of designing Bayesian sampling plans with type-II progressive hybrid censored samples. Algorithms A and B for deriving Bayesian sampling plans are proposed. Comparison between the performances of the proposed sampling plans with the sampling plans of Lin and Huang is made. The numerical results indicate that the proposed sampling plans perform much better than the sampling plans of Lin and Huang in terms of their associated Bayes risks.

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来源期刊

International Journal of Information and Management Sciences Engineering-Industrial and Manufacturing Engineering

CiteScore

0.90

自引率

0.00%

发文量

期刊介绍： - Information Management - Management Sciences - Operation Research - Decision Theory - System Theory - Statistics - Business Administration - Finance - Numerical computations - Statistical simulations - Decision support system - Expert system - Knowledge-based systems - Artificial intelligence