| DOI: | 10.2172/991092
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| 报告号: | PNNL-19315
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| 报告题名: | Acceptance sampling using judgmental and randomly selected samples |
| 作者: | Sego, Landon H.; Shulman, Stanley A.; Anderson, Kevin K.; Wilson, John E.; Pulsipher, Brent A.; Sieber, W. Karl
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| 出版年: | 2010
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| 发表日期: | 2010-09-01
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| 国家: | 美国
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| 语种: | 英语
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| 英文关键词: | acceptance sampling
; judgmental sampling
; environmental sampling
; Bayesian modeling
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| 中文主题词: | 人口
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| 主题词: | POPULATION
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| 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. |
| URL: | http://www.osti.gov/scitech/servlets/purl/991092
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| Citation statistics: |
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| 资源类型: | 研究报告
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/39687
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| Appears in Collections: | 过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响
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| 991092.pdf（773KB） | 研究报告 | -- | 开放获取 | | View
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| Recommended Citation: | |
Sego, Landon H.,Shulman, Stanley A.,Anderson, Kevin K.,et al. Acceptance sampling using judgmental and randomly selected samples. 2010-01-01.
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