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BIASED SAMPLING; THE NONCENTRAL HYPERGEOMETRIC PROBABILITY DISTRIBUTION.

Author: Kenneth T Wallenius; STANFORD UNIV CA APPLIED MATHEMATICS AND STATISTICS LABS.
Publisher: Ft. Belvoir Defense Technical Information Center 29 NOV 1963.
Edition/Format:   eBook : EnglishView all editions and formats
Summary:
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  Read more...
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Material Type: Internet resource
Document Type: Internet Resource
All Authors / Contributors: Kenneth T Wallenius; STANFORD UNIV CA APPLIED MATHEMATICS AND STATISTICS LABS.
OCLC Number: 227323194
Description: 66 pages

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."

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