Hostname: page-component-78c5997874-fbnjt Total loading time: 0 Render date: 2024-11-10T20:48:36.085Z Has data issue: false hasContentIssue false
  • English
  • Français

An inequality from genetics

Published online by Cambridge University Press:  01 July 2016

E. Seneta
E. Seneta*
Affiliation:
University of Sydney
*
∗Postal address: Department of Mathematical Statistics, University of Sydney, NSW 2006, Australia.
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

A class of fitness matrices whose parameters may be varied to give differing stability structure is shown by Chebyshev&s covariance inequality to possess a variance lower bound for the change in mean fitness.

Keywords

FUNDAMENTAL THEOREM OF NATURAL SELECTIONCHEBYSHEV&S COVARIANCE INEQUALITY
Type
Letters to the Editor
Information
Advances in Applied Probability , Volume 18 , Issue 3 , September 1986 , pp. 860 - 861
Copyright
Copyright © Applied Probability Trust 1986 

References

1. Mitrinović, D. S. (1970) Analytic Inequalities. Springer-Verlag, Berlin.CrossRefGoogle Scholar
2. Seneta, E. (1973) On a genetic inequality. Biometrics 29, 810–814.CrossRefGoogle Scholar
3. Seneta, E. (1978) A relaxation view of a genetic problem. Adv. Appl. Prob. 10, 716–720.Google Scholar