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by Samson Quaye
| Institution: | Brno University of Technology |
|---|---|
| Department: | |
| Degree: | |
| Year: | 2022 |
| Keywords: | Cauchyho rozdělení; odhad parametrů; Huberův M-estimátor; Hodges Lehmannův odhad; Trimmed Mean; Sens Mean; ROC křivky.; Cauchy distribution; Parameter estimation; Huber M-estimator; Hodges Lehmann estimator; Trimmed Mean; Sens Mean; ROC curves. |
| Posted: | 3/25/2025 |
| Record ID: | 2292392 |
| Full text PDF: | http://hdl.handle.net/11012/208447 |
The Cauchy distribution plays a major role in biology, mathematics, physics and many related disciplines. As a consequence, a parameter estimation methodology for data which is distributed according to a Cauchy distribution is of importance. Nevertheless, the Cauchy distribution is well known for causing difficulties with classical approaches to parameter estimation. This diploma thesis is concerned with the study of the properties of Cauchy distribution. Several robust estimators of its location parameter are presented. A simulation study programmed in Python allows us to compare the performance of these parameter estimates in Bi-Cauchy ROC curve estimation. Moreover, some theoretical properties of the Bi-Cauchy ROC curve are studied.
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