Acceptance sampling using judgmental and randomly selected samples

doi:10.2172/991092

GSTDTAP > 地球科学

DOI	10.2172/991092
报告编号	PNNL-19315
来源ID	OSTI ID: 991092
	Acceptance sampling using judgmental and randomly selected samples
	Sego, Landon H.; Shulman, Stanley A.; Anderson, Kevin K.; Wilson, John E.; Pulsipher, Brent A.; Sieber, W. Karl
	2010-09-01
出版年	2010
语种	英语
国家	美国
领域	地球科学
英文摘要	We present a Bayesian model for acceptance sampling where the population consists of two groups, each with different levels of risk of containing unacceptable items. Expert opinion, or judgment, may be required to distinguish between the high and low-risk groups. Hence, high-risk items are likely to be identifed (and sampled) using expert judgment, while the remaining low-risk items are sampled randomly. We focus on the situation where all observed samples must be acceptable. Consequently, the objective of the statistical inference is to quantify the probability that a large percentage of the unsampled items in the population are also acceptable. We demonstrate that traditional (frequentist) acceptance sampling and simpler Bayesian formulations of the problem are essentially special cases of the proposed model. We explore the properties of the model in detail, and discuss the conditions necessary to ensure that required samples sizes are non-decreasing function of the population size. The method is applicable to a variety of acceptance sampling problems, and, in particular, to environmental sampling where the objective is to demonstrate the safety of reoccupying a remediated facility that has been contaminated with a lethal agent.
英文关键词	acceptance sampling judgmental sampling environmental sampling Bayesian modeling
URL	查看原文
来源平台	US Department of Energy (DOE)
引用统计
文献类型	科技报告
条目标识符	http://119.78.100.173/C666/handle/2XK7JSWQ/4716
专题	地球科学
推荐引用方式 GB/T 7714	Sego, Landon H.,Shulman, Stanley A.,Anderson, Kevin K.,et al. Acceptance sampling using judgmental and randomly selected samples,2010.