Community Research and Development Information Service - CORDIS

FP7

COCONET Report Summary

Project ID: 287844
Funded under: FP7-KBBE
Country: Greece

Exploitable results – Bivariate distributions for wind speed and wind direction

Result description

In this work, several very common as well as some less known estimation methods of extreme wind speed are firstly assessed through a simulation analysis. The results of the analysis showed that the maximum product of spacings (MPS), the elemental percentile (EP), the ordinary entropy method and, in a lesser degree, the maximun likelihood (ML) methods seem to be, in general, superior to the other examined methods with respect to bias, mean squared error and variance of the estimated parameters.

Result type

* Scientific Publication

Link to result

http://link.springer.com/article/10.1007%2Fs11069-015-1800-0

References

Soukissian, T.H. and C. Tsalis (2015) The effect of the generalized extreme value distribution parameter estimation methods in extreme wind speed prediction, Natural Hazards, 78, 1777-1809, doi: 10.1007/s11069-015-1800-0
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