Skip to main content

Likelihood-based confidence intervals of relative fitness for a common experimental design

Buy Article:

$50.00 plus tax (Refund Policy)


Statistical inferences concerning the relative fitness of different types of individuals in a population have not been well developed. We present a method for calculating confidence intervals for maximum likelihood estimates of relative fitness obtained from an experimental design that is common in the fisheries literature. Analysis and simulation show that these confidence limits are reliable. We also show that the bias of the estimates is low for realistic sample sizes.

Les inférences statistiques sur la fitness relative des différents types d'individus dans une population sont encore peu élaborées. Nous présentons une méthode pour calculer les intervalles de confiance des estimations de vraisemblance maximale de la fitness relative obtenues d'un plan d'expériences couramment utilisé dans la littérature halieutique. L'analyse et la simulation montrent que ces intervalles de confiance sont fiables. Nous établissons aussi que l'erreur des estimations est faible pour des tailles d'échantillons réalistes.[Traduit par la Rédaction]

Document Type: Research Article

Publication date: 2005-03-01

More about this publication?
  • Published continuously since 1901 (under various titles), this monthly journal is the primary publishing vehicle for the multidisciplinary field of aquatic sciences. It publishes perspectives (syntheses, critiques, and re-evaluations), discussions (comments and replies), articles, and rapid communications, relating to current research on cells, organisms, populations, ecosystems, or processes that affect aquatic systems. The journal seeks to amplify, modify, question, or redirect accumulated knowledge in the field of fisheries and aquatic science. Occasional supplements are dedicated to single topics or to proceedings of international symposia.
  • Information for Authors
  • Submit a Paper
  • Subscribe to this Title
  • Terms & Conditions
  • Sample Issue
  • Reprints & Permissions
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more