Keywords
Capture recapture, sampling, ecology, healthcare, mark release
Abstract
We propose a ratio estimator to determine population estimates using capture-recapture sampling. It's different than traditional approaches in the following ways: (1) Ordering of recaptures: Currently data sets do not take into account the "ordering" of the recaptures, although this crucial information is available to them at no cost. (2) Dependence of trials and cluster sampling: Our model explicitly considers trials to be dependent and improves existing literature which assumes independence. (3) Rate of convergence: The percentage sampled has an inverse relationship with population size, for a chosen degree of accuracy. (4) Asymptotic Attainment of Minimum Variance (Open Systems: (=population variance). (5) Full use of data and model applicability (6) Non-parametric (7) Heterogeneity: When units being sampled are hard to identify. (8) Open and closed systems: Simpler results are presented separately for closed systems. (9) Robustness to assumptions in open systems
Notes
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Graduation Date
2014
Semester
Summer
Advisor
Kincaid, J. Peter
Degree
Doctor of Philosophy (Ph.D.)
College
College of Sciences
Department
Graduate Studies
Degree Program
Modeling and Simulation
Format
application/pdf
Identifier
CFE0005403
URL
http://purl.fcla.edu/fcla/etd/CFE0005403
Language
English
Release Date
August 2014
Length of Campus-only Access
None
Access Status
Doctoral Dissertation (Open Access)
Subjects
Dissertations, Academic -- Sciences; Sciences -- Dissertations, Academic
STARS Citation
Rehman, Zia, "How Many Are Out There? A Novel Approach For Open and Closed Systems" (2014). Electronic Theses and Dissertations. 4569.
https://stars.library.ucf.edu/etd/4569