In the framework of the regional analysis of hydrological extreme events, a probabilistic mixture model, given by a convex combination of two Gumbel distributions, is proposed for rainfall extremes modelling. The papers concerns with statistical methodology for parameter estimation. With this aim, theoretical expressions of the L moments of the mixture model are here defined. The expressions have been tested on the time series of the annual maximum height of daily rainfall recorded in Tuscany (central Italy).
Titolo: | L-MOMENTS BASED ASSESSMENT OF A MIXTURE MODEL FOR FREQUENCY ANALYSIS OF RAINFALL EXTREMES. |
Autori di Ateneo: | |
Autori: | TARTAGLIA, VINCENZO; CAPORALI, ENRICA; CAVIGLI, ELISABETTA; MORO, ANTONIO |
Anno di registrazione: | 2006 |
Rivista: | |
Volume: | 2 |
Pagina iniziale: | 331 |
Pagina finale: | 334 |
Abstract: | In the framework of the regional analysis of hydrological extreme events, a probabilistic mixture model, given by a convex combination of two Gumbel distributions, is proposed for rainfall extremes modelling. The papers concerns with statistical methodology for parameter estimation. With this aim, theoretical expressions of the L moments of the mixture model are here defined. The expressions have been tested on the time series of the annual maximum height of daily rainfall recorded in Tuscany (central Italy). |
Handle: | http://hdl.handle.net/2158/21880 |
Appare nelle tipologie: | 1a - Articolo su rivista |
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