Estimate of Population Size from a Single Mark-Recapture Experiment
Estimates population sizes, standard errors, and confidence intervals for the bias-corrected Petersen and the Bailey binomial estimators.
mrN.single(M = NULL, C = NULL, R = NULL, alpha = 0.05)
M |
Number of marked animals released |
C |
Number of animals captured |
R |
Number of animals recaptured |
alpha |
alpha level for confidence intervals |
The bias-corrected Petersen estimator and its variance (Seber 2002: p.60), and the Bailey binomial estimator and its variance (Seber 2002: p.61) are calculated. The hypergeometric distribution is used to estimate confidence intervals for the Petersen model and the binomial distribution is used to estimate confidence intervals for the Bailey model.
Dataframe containing the population estimates (N), standard errors of N, the lower confidence limits (LCI), and the upper confidence limits(UCI).
Gary A. Nelson, Massachusetts Division of Marine Fisheries gary.nelson@mass.gov
Seber, G. A. F. 2002. The Estimation of Animal Abundance and Related Parameters, Second Edition. The Blackburn Press, Caldwell, New Jersey. 654 p.
mrN.single(M=948,C=421,R=167)
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.