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On the actual coverage probability of hypergeometric parameter  

Kim, Dae-Hak (School of Liberal Arts, Catholic University of Daegu)
Publication Information
Journal of the Korean Data and Information Science Society / v.21, no.6, 2010 , pp. 1109-1115 More about this Journal
Abstract
In this paper, exact confidence interval of hyper-geometric parameter, that is the probability of success p in the population is discussed. Usually, binomial distribution is a well known discrete distribution with abundant usage. Hypergeometric distribution frequently replaces a binomial distribution when it is desirable to make allowance for the finiteness of the population size. For example, an application of the hypergeometric distribution arises in describing a probability model for the number of children attacked by an infectious disease, when a fixed number of them are exposed to it. Exact confidence interval estimation of hypergeometric parameter is reviewed. We consider the performance of exact confidence interval estimates of hypergeometric parameter in terms of actual coverage probability by small sample Monte Carlo simulation.
Keywords
Actual coverage probability; confidence interval; hyper-geometric distribution; hyper-geometric parameter;
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Times Cited By KSCI : 1  (Citation Analysis)
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