Date of Award

Summer 6-23-2025

Degree Type

Thesis

Degree Name

Master of Science - Mathematical Sciences

Department

Mathematics and Statistics

First Advisor

Kent Riggs, PhD

Second Advisor

Jacob Turner, Ph.D

Third Advisor

Robert Henderson, Ph.D

Fourth Advisor

Donald Gooch, Ph.D

Abstract

This thesis explores constructing and evaluating confidence intervals for the difference and ratio of means from two independent Beta distributions using Maximum Likelihood Estimation (MLE) and the Wald method. It addresses the limitations of traditional methods due to the unique properties of Beta distributions. Extensive simulation studies assess interval performance based on coverage probability and Average width. The study aims to provide robust tools for statistical analysis in fields where Beta distributions are common, enhancing understanding and application of these methods in various scientific domains. Additionally, these confidence intervals will be applied to real biological data from a Morris Water Maze experiment, with recommendations for best practices.

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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