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Prediction intervals for hypergeometric distributions
Communications in Statistics - Theory and Methods, 2019AbstractThe problem of constructing prediction intervals (PIs) for a future sample from a hypergeometric distribution is addressed.
Kalimuthu Krishnamoorthy, Shanshan Lv
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A Characterization of Hypergeometric Distributions
Journal of the American Statistical Association, 1970Abstract A theorem, that mixtures with binomial mixing distribution which are themselves binomial characterize the hypergeometric family of distributions, is displayed in various forms (the theorem and three equivalent restatements). These exhibit the fact that the property in question is related in a fundamental way to properties of moment sequences ...
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Hypergeometric, Binomial and Poisson distributions
1973Use of hypergeometric distribution; binomial distribution and its application; Poisson distribution and its application; fitting of distributions to given data.
J. Murdoch, J. A. Barnes
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Models for Gaussian Hypergeometric Distributions
1975The four distributions discussed here belong to two partially overlapping classes. The class (es) to which each belongs is found to determine the kinds of models giving rise to it. Urn, contagion, stochastic and STER process models are considered together with conditionally, weighting and mixing models.
Adrienne W. Kemp, C. D. Kemp
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Noncentral Hypergeometric Distribution and Poisson Binomial Distribution
2017So far we have discussed continuous and mixture of continuous and discrete covariate discrete choice models. In applications, especially in biomedical researches, a series of \(2\times 2\) tables have been used extensively. Next we present a fundamental result by Kou and Yin (Stat Sin 809–829:8, 1996) on the i.i.d.
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Negative Hypergeometric Distribution
2020Rajan Chattamvelli, Ramalingam Shanmugam
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