Hostname: page-component-cd9895bd7-7cvxr Total loading time: 0 Render date: 2024-12-23T18:11:36.245Z Has data issue: false hasContentIssue false
  • English
  • Français

A non-central multivariate hypergeometric distribution arising from biased sampling with application to selective predation

Published online by Cambridge University Press:  14 July 2016

Jean Chesson
Jean Chesson*
Affiliation:
Waite Agricultural Research Institute, University of Adelaide
Get access Rights & Permissions [Opens in a new window]

Abstract

Selective predation is an example of biased sampling which gives rise to a non-central multivariate hypergeometric distribution. The probability distribution function of this distribution is derived.

Keywords

BIASED SAMPLINGSELECTIVE PREDATIONNON-CENTRAL MULTIVARIATE HYPERGEOMETRIC DISTRIBUTION
Type
Short Communications
Information
Journal of Applied Probability , Volume 13 , Issue 4 , December 1976 , pp. 795 - 797
Copyright
Copyright © Applied Probability Trust 1976 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Chesson, J. (1974) Selective Predation. , University of Adelaide.Google Scholar
Manly, B. F. J., Miller, P. and Cook, L. M. (1972) Analysis of a selective predation experiment. Amer. Nat. 106, 719–736.Google Scholar
Wallenius, K. T. (1963) Biased Sampling; the Non-central Hypergeometric Probability Distribution. , Stanford University. (Described in Johnson, N.L. and Kotz, S. (1969) Distributions in Statistics — Discrete Distributions. Houghton-Mifflin, New York.) Google Scholar