Abstract
Abstract : Consider a set S of L elements which is dichotomized in some manner (say, by an observable characteristic) into subsets M and N containing m and n = L - m elements, respectively, and a sampling mechanism which in some way selects a subset R of r elements from S. Let a be a realization of the random variable A denoting the number of elements in R arc of circle M. The hypothesis that the sampling mechanism is random is tested against the alternative of non-randomness.
Keywords
Hypergeometric distributionMathematicsSampling (signal processing)StatisticsDistribution (mathematics)PhysicsMathematical analysis
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Publication Info
- Year
- 1963
- Type
- report
- Citations
- 80
- Access
- Closed
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Cite This
Kenneth T. Wallenius
(1963).
BIASED SAMPLING; THE NONCENTRAL HYPERGEOMETRIC PROBABILITY DISTRIBUTION.
.
https://doi.org/10.21236/ad0426243
Identifiers
- DOI
- 10.21236/ad0426243