Literature DB >> 26891189

Interval estimation of small tail probabilities - applications in food safety.

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.
Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

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


  1 in total

1.  Estimation of Tail Probabilities by Repeated Augmented Reality.

Authors:  Benjamin Kedem; Saumyadipta Pyne
Journal:  J Stat Theory Pract       Date:  2021-01-20
  1 in total

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