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Application of the Box-Cox power transformation in extreme value analysis of wind speed

International Conference on Applications of Statistics and Probability (12th : 2015 : Vancouver, B.C.)

The Gumbel distribution is one of the commonly used models for the extreme wind speed or the squared wind speed. The best choice between fitting the wind speed or squared wind speed is not apparent. To objectively avoid the need for the choice, we apply the Box-Cox power transformation with the Gumbel distribution and the generalized extreme value distribution in this study. The application of the transformation improves the rate of convergence in extreme value analysis. For the numerical example analysis, we consider the wind data recorded at 14 meteorological stations in Canada. Results indicate that the proposed application with the Gumbel distribution gives consistent estimates of the load effects whether the wind speed or squared wind speed are used for the distribution fitting; the application with the generalized extreme value distribution with Box-Cox transform is ineffective for the extreme data considered.

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This collection contains the proceedings of ICASP12, the 12th International Conference on Applications of Statistics and Probability in Civil Engineering held in Vancouver, Canada on July 12-15, 2015. Abstracts were peer-reviewed and authors of accepted abstracts were invited to submit full papers. Also full papers were peer reviewed. The editor for this collection is Professor Terje Haukaas, Department of Civil Engineering, UBC Vancouver.

Vancouver : University of British Columbia Library

10.14288/1.0076262

Non UBC

Unreviewed

http://creativecommons.org/licenses/by-nc-nd/2.5/ca/