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).
L-MOMENTS BASED ASSESSMENT OF A MIXTURE MODEL FOR FREQUENCY ANALYSIS OF RAINFALL EXTREMES / V. TARTAGLIA; E. CAPORALI; E. CAVIGLI; A. MORO. - In: ADVANCES IN GEOSCIENCES. - ISSN 1680-7359. - STAMPA. - 2:(2006), pp. 331-334.
L-MOMENTS BASED ASSESSMENT OF A MIXTURE MODEL FOR FREQUENCY ANALYSIS OF RAINFALL EXTREMES.
TARTAGLIA, VINCENZO;CAPORALI, ENRICA;CAVIGLI, ELISABETTA;MORO, ANTONIO
2006
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).File | Dimensione | Formato | |
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