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University of Nevada, Las Vegas

Population size estimation from mark-resighting surveys

Abstract

dc:description.abstract

We consider the problem of estimating the size of a closed population based on the results of a certain type of marking-resighting sampling design. The design is similar to the commonly used multiple capture-recapture design, yet in some cases economically more feasible and easy to use. Sampling is done by first tagging a number of randomly selected animals with visible markers and later randomly sighting them (for instance, for large animals by visually sampling from a helicopter) and counting the number of tagged animals; In this paper, by using the above mentioned sampling scheme we present the maximum likelihood estimation (MLE) and Bayesian estimation of N by using different methods and construct their confidence intervals. We also use real data sets and simulated data sets to test these statistical indexes, and we find that it is reasonable for us to construct the confidence intervals of N by using these methods and that the approximate confidence interval of N is reliable.

Degree

thesis:*
Name thesis:degree_name
Master of Science (MS)
Level thesis:degree_level
Thesis
Discipline thesis:degree_discipline
Mathematical Sciences
Grantor dc:publisher
University of Nevada, Las Vegas
Year
1998

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • He, Huawen
Contributors dc:contributor
  • Malwane Ananda

Rights

dc:rights
Statement dc:rights
  • IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:oasis.library.unlv.edu:rtds-1890

Chain of custody

source
Harvested from
University of Nevada - Las Vegas
Base URL
oasis.library.unlv.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
related terms
citation

He, Huawen. Population size estimation from mark-resighting surveys. Thesis thesis, University of Nevada, Las Vegas, 1998. https://doi.org/10.25669/6l92-eyaw