Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

A general theory for modeling capture-recapture data from a closed population

M A Evans1, D G Bonett, L L McDonald

  • 1Washington State University, Pullman 99164-3144.

Biometrics
|June 1, 1994
PubMed
Summary

This study presents a general theory for estimating population size using multiple-recapture data. The log-linear model approach accounts for behavioral responses and animal heterogeneity, extending to open population models.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The inner membrane protein YhiM is necessary for Escherichia coli growth at high temperatures and low osmolarity.

Archives of microbiology·2016
Same author

Annexinopathies.

Sub-cellular biochemistry·2008
Same author

Raloxifene, soy phytoestrogens and endothelial function in postmenopausal women.

Climacteric : the journal of the International Menopause Society·2007
Same author

Men with cancer: is their use of complementary and alternative medicine a response to needs unmet by conventional care?

European journal of cancer care·2007
Same author

Disorder-to-order transition of 1,4-dimethylnaphthalene: Formation of molecular complex with water and p-xylene on Al2O3 (0001).

The journal of physical chemistry. B·2006
Same author

Molecular and quantitative genetic divergence among populations of house mice with known evolutionary histories.

Heredity·2005

Area of Science:

  • Ecology
  • Population Biology
  • Statistical Ecology

Background:

  • Estimating population size is crucial for ecological management.
  • Traditional methods often struggle with varying capture probabilities and individual differences.

Purpose of the Study:

  • To develop a general theory for population size estimation using multiple-recapture data.
  • To extend this theory to open population models.
  • To incorporate temporal variation and animal heterogeneity into capture-recapture models.

Main Methods:

  • Development of a log-linear model framework.
  • Modeling dependent capture-recapture data with time-varying and heterogeneous capture probabilities.
  • Application to complete capture history data and removal data.

Related Experiment Videos

  • Derivation of maximum likelihood estimators and covariance matrices.

    • Main Results:

    • A unified theory for closed population size estimation from multiple-recapture data.
    • Extension of the theory to open population models.
    • Log-linear models accounting for behavioral responses and animal heterogeneity.
    • Novel log-linear models for removal data.

    Conclusions:

    • The proposed log-linear model provides a flexible and robust framework for population size estimation.
    • The methods are applicable to both closed and open populations, and various data types.
    • The approach enhances the accuracy of estimates by accounting for complex ecological factors.