.png){kind=icon}
返回
Sequential variable sampling plan for normal distribution
.png){kind=icon}
PRE
AI
DOI：10.1016/j.ejor.2004.09.034.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In this paper, a sequential variable sampling plan is studied. Suppose that the quality of an item in a batch is measured by a normally distributed random variable with a known variance, but the mean is unknown with a normal prior distribution. Then by using Bayesian approach and considering a Markov decision process, the optimality equations for the minimum total expected cost are formulated. We show that an optimal decision rule will have a control limit structure. An algorithm for a sequence of epsilon-optimal decisions is introduced. Then, the statistical procedure for conducting the sequential sampling plan is presented. (C) 2004 Elsevier B.V. All rights reserved.
Keyword:
sequential sampling plans
Markov decision process
optimality equation
epsilon-optimal decision
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
6
论文数:
2.2W
被引数:
6.4W
机构
暂无机构信息
引用论文
Nonfatal Systemic Air Embolism: A Grave Complication of Computed Tomography-Guided Percutaneous Transthoracic Needle Biopsy非致死性系统性空气栓塞：计算机断层扫描引导下经皮肺穿刺针活检的严重并发症
OAAI
OAAI分享收藏Effect of Various Lubricating Strategies on Machining of Titanium Alloys: A State-of-the-Art Review.png)
Coatings
OAAI
CoatingsIF0
OAAI分享收藏
查看更多内容