Exponential bounds for the hypergeometric distribution.

Bernoulli (Andover)

Department of Statistics, Box 354322, University of Washington, Seattle, WA 98195-4322, USA.

Published: August 2017

We establish exponential bounds for the hypergeometric distribution which include a finite sampling correction factor, but are otherwise analogous to bounds for the binomial distribution due to León and Perron ( (2003) 345-354) and Talagrand ( (1994) 28-76). We also extend a convex ordering of Kemperman's ( (1973) 149-164) for sampling without replacement from populations of real numbers between zero and one: a population of all zeros or ones (and hence yielding a hypergeometric distribution in the upper bound) gives the extreme case.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5839521PMC
http://dx.doi.org/10.3150/15-BEJ800DOI Listing

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