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This paper discusses the application of Cramer–von Mises and Anderson-Darling goodness of fit tests for extreme value distributions with unknown parameters. It proposes a transformation to create a new test statistic that is independent of the distribution parameters, allowing for a single table of coefficients to be used across various distributions. Monte Carlo simulations are employed to assess the performance of the proposed method compared to existing tests, demonstrating its effectiveness in hydrology

Author
sefather80
Language
EN

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