Numerical Survival Rate Estimation for Capture-Recapture Models Using SAS PROC NLIN

  • Kenneth P. Burnham
Conference paper
Part of the Lecture Notes in Statistics book series (LNS, volume 55)

Abstract

This paper discusses and illustrates recent developments in the modeling and analysis of capture-recapture data for open populations. Results are presented using a unified theory of cohort survival processes. The statistical models for survival rate estimation are represented as products of conditionally independent multinomials; this is achieved by always conditioning on the known number of releases initiating the cohorts. This approach facilitates extension of the Jolly-Seber model to control-treatment studies, or other contexts where comparison of population survival rates is of most interest. Numerical computation of maximum likelihood survival and capture rate estimators, under any model, is easily achieved using iteratively-reweighted nonlinear least squares in SAS PROC NLIN. In his classical paper, Jolly (1965) illustrated his methods using summary statistics on female black-kneed capsids (Blepharidopterus angulatus). Here I use the entire data set on males and females to illustrate survival rate estimation and flexible modeling of capture-recapture data.

Keywords

Open Population Daily Survival Rate Capture History Survival Rate Estimation Proc NLIN 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Copyright information

© Springer-Verlag Berlin Heidelberg 1989

Authors and Affiliations

  • Kenneth P. Burnham
    • 1
  1. 1.USDA-Agricultural Research Service, and Department of StatisticsNorth Carolina State UniversityRaleighUSA

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