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You searched for +publisher:"Clemson University" +contributor:("Dr. Brook Russell, Committee Co-Chair"). One record found.

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Clemson University

1. Thomas, April L. Estimating Animal Abundance by Employing an External Experiment to Account for Detection and Count Bias with an application to Wintering Ducks in the Mississippi Alluvial Valley.

Degree: PhD, Mathematical Sciences, 2018, Clemson University

A valid concern when structuring an aerial survey of wildlife populations is the presence of visibility bias. Many studies attempt to correct for visibility bias by including additional parameters in estimators for wildlife abundance. Often these parameters are estimated through data collected during the aerial survey. Some, how-ever, have suggested using an external visibility experiment to estimate parameters being used to adjust for visibility bias. This work considers a bias adjusted estimator, proposed by Pearse et al. (2008), in which the bias correction parameters are esti-mated via an external visibility experiment using decoys in place of the live animals. The bootstrap method was then used to find the standard error of this estimate. We propose a second bootstrap approach to obtain an estimate of the standard error. We find that both implementations of the bootstrap work equally well, although the computations involved may dictate the most feasible choice in a specific case. We then evaluate the performance of the estimator through the use of a simulation study of an artificial population. We find that the use of an external experiment can pro-duce reasonable results and identify some situations where it can produce under or over estimates of the population. Advisors/Committee Members: Dr. Patrick Gerard, Committee Co-Chair, Dr. Brook Russell, Committee Co-Chair, Dr. William Bridges, Dr. Jun Luo, Dr. Beth Ross.

Subjects/Keywords: Bootstrap; External Experiment; Visibility Bias

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Thomas, A. L. (2018). Estimating Animal Abundance by Employing an External Experiment to Account for Detection and Count Bias with an application to Wintering Ducks in the Mississippi Alluvial Valley. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/2101

Chicago Manual of Style (16th Edition):

Thomas, April L. “Estimating Animal Abundance by Employing an External Experiment to Account for Detection and Count Bias with an application to Wintering Ducks in the Mississippi Alluvial Valley.” 2018. Doctoral Dissertation, Clemson University. Accessed February 19, 2019. https://tigerprints.clemson.edu/all_dissertations/2101.

MLA Handbook (7th Edition):

Thomas, April L. “Estimating Animal Abundance by Employing an External Experiment to Account for Detection and Count Bias with an application to Wintering Ducks in the Mississippi Alluvial Valley.” 2018. Web. 19 Feb 2019.

Vancouver:

Thomas AL. Estimating Animal Abundance by Employing an External Experiment to Account for Detection and Count Bias with an application to Wintering Ducks in the Mississippi Alluvial Valley. [Internet] [Doctoral dissertation]. Clemson University; 2018. [cited 2019 Feb 19]. Available from: https://tigerprints.clemson.edu/all_dissertations/2101.

Council of Science Editors:

Thomas AL. Estimating Animal Abundance by Employing an External Experiment to Account for Detection and Count Bias with an application to Wintering Ducks in the Mississippi Alluvial Valley. [Doctoral Dissertation]. Clemson University; 2018. Available from: https://tigerprints.clemson.edu/all_dissertations/2101

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