| Literature DB >> 26891189 |
Benjamin Kedem1, Lemeng Pan1, Wen Zhou1, Carlos A Coelho2.
Abstract
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.Keywords: NHANES; coverage; density ratio model; food safety; out of sample fusion; semiparametric
Mesh:
Year: 2016 PMID: 26891189 DOI: 10.1002/sim.6921
Source DB: PubMed Journal: Stat Med ISSN: 0277-6715 Impact factor: 2.373