Abstract
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. © 2014 © 2014 Taylor & Francis.
| Original language | English |
|---|---|
| Pages (from-to) | 1694-1707 |
| Journal | Journal of Applied Statistics |
| Volume | 41 |
| Issue number | 8 |
| DOIs | |
| Publication status | Published - Aug 2014 |
Research Keywords
- generalized linear models
- maximum likelihood estimation
- seasonality
- Weibull law
- wind speed time series
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