Date of Award

12-2021

Degree Type

Thesis

Degree Name

Master of Science in Natural Science

Department

Mathematics and Statistics

First Advisor

Kent Riggs, PhD

Second Advisor

Jacob Turner, Phd

Third Advisor

Robert Henderson, Phd

Fourth Advisor

Lindsay Porter, Phd

Abstract

Statistical inference for the mean of a beta distribution has become increasingly popular in various fields of academic research. In this study, we developed a novel statistical model from likelihood-based techniques to evaluate various confidence interval techniques for the mean of a beta distribution. Simulation studies will be implemented to compare the performance of the confidence intervals. In addition to the development and study involving confidence intervals, we will also apply the confidence intervals to real biological data that was gathered by the Department of Biology at Stephen F. Austin State University and provide recommendations on the best practice.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

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