Award Date

1-1-1998

Degree Type

Thesis

Degree Name

Master of Science (MS)

Department

Mathematical Sciences

First Committee Member

Malwane Ananda

Number of Pages

86

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.

Keywords

Estimation; Mark; Populations; Resighting; Size; Surveys

Controlled Subject

Mathematics; Statistics

File Format

pdf

File Size

1546.24 KB

Degree Grantor

University of Nevada, Las Vegas

Permissions

If you are the rightful copyright holder of this dissertation or thesis and wish to have the full text removed from Digital Scholarship@UNLV, please submit a request to digitalscholarship@unlv.edu and include clear identification of the work, preferably with URL.

Rights

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

Download


COinS