Interval estimation of small tail probabilities - applications in food safety

被引:2
|
作者
Kedem, Benjamin [1 ]
Pan, Lemeng [1 ]
Zhou, Wen [1 ]
Coelho, Carlos A. [2 ,3 ]
机构
[1] Univ Maryland, Dept Math, College Pk, MD 20742 USA
[2] Fac Ciencias & Tecnol FCT UNL, Dept Math, Caparica, Portugal
[3] Fac Ciencias & Tecnol FCT UNL, CMA, Caparica, Portugal
基金
美国食品与农业研究所;
关键词
food safety; density ratio model; semiparametric; coverage; out of sample fusion; NHANES; OF-FIT TEST; REGRESSION; EXPOSURE;
D O I
10.1002/sim.6921
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Often in food safety and bio-surveillance it is desirable to estimate the probability that a contaminant or a function thereof exceeds an unsafe high threshold. The probability or chance in question is very small. To estimate such a probability, we need information about large values. In many cases, the data do not contain information about exceedingly large contamination levels, which ostensibly renders the problem insolvable. A solution is suggested whereby more information about small tail probabilities are obtained by combining the real data with computer-generated data repeatedly. This method provides short yet reliable interval estimates based on moderately large samples. An illustration is provided in terms of lead exposure data. Copyright (c) 2016 John Wiley & Sons, Ltd.
引用
收藏
页码:3229 / 3240
页数:12
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