In hydrologic risk analysis, the use of exceedance statistics are very important. In this sense, we construct a random threshold model based on bivariate order statistics. The exact distribution of exceedance statistics is calculated under some well-known copulas such as independent and Farlie-Gumbel-Morgenstern (FGM) copulas. Furthermore, numerical results are provided for expected value and variance of exceedance statistics under independent and Farlie-Gumbel-Morgenstern copulas. The application of the model in hydrology is also discussed.
Exceedance Probability bivariate order statistics bivariate distributions random threshold model hydrologic risk
Primary Language | English |
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Subjects | Applied Mathematics |
Journal Section | Research Articles |
Authors | |
Publication Date | December 31, 2021 |
Submission Date | October 26, 2020 |
Acceptance Date | June 21, 2021 |
Published in Issue | Year 2021 Volume: 70 Issue: 2 |
Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics.
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