Date of Award
8-2024
Degree Type
Thesis
Degree Name
Master of Science - Mathematical Sciences
Department
College of Science and Mathematics
First Advisor
Robert Henderson
Second Advisor
Jane Long
Third Advisor
Jacob Turner
Fourth Advisor
Jeremy Becnel
Abstract
This study explores innovative approaches to constructing confidence intervals for the population standard deviation, σ, in non-normal data scenarios. While the sample standard deviation, s, is widely used, its reliability is compromised when dealing with skewed or heavy-tailed distributions and exhibits sensitivity to outliers. Our research addresses these limitations by investigating alternative estimation methods that offer greater robustness and accuracy.
Repository Citation
Oppong Kyeremeh, Theophilus, "Simulation Study on Confidence Interval Estimation for Standard Deviation with Non-Normal Distributions" (2024). Electronic Theses and Dissertations. 552.
https://scholarworks.sfasu.edu/etds/552
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Included in
Applied Statistics Commons, Probability Commons, Statistical Methodology Commons, Statistical Theory Commons
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