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Article Dans Une Revue Journal of Applied Statistics Année : 2014

A generalized linear model approach to seasonal aspects of wind speed modeling

Résumé

The aim of the article is to identify the intraday seasonality in a wind speed time series. Following the traditional approach, the marginal probability law is Weibull and, consequently, we consider seasonal Weibull law. A new estimation and decision procedure to estimate the seasonal Weibull law intraday scale parameter is presented. We will also give statistical decision-making tools to discard or not the trend parameter and to validate the seasonal model.
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Dates et versions

hal-01634620 , version 1 (14-11-2017)

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Alexandre Brouste, Alain Bensoussan, Pierre Bertrand. A generalized linear model approach to seasonal aspects of wind speed modeling. Journal of Applied Statistics, 2014, 41 (8), pp.1694 - 1707. ⟨10.1080/02664763.2014.888543⟩. ⟨hal-01634620⟩
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