1984
DOI: 10.1029/wr020i007p00847
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Two‐Component Extreme Value Distribution for Flood Frequency Analysis

Abstract: "Theoretical considerations, supported by statistical analysis of 39 annual flood series (AFS) of Italian basins, suggest that the two-component extreme value (TCEV) distribution can be assumed as a parent flood distribution, i.e., one closely representative of the real flood experience. This distribution belongs to the family of distributions of the annual maximum of a compound Poisson process, which is a solid theoretical basis for AFS analysis. However, the two-parameter distribution of this family, obtaine… Show more

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Cited by 336 publications
(276 citation statements)
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“…If n is not constant, but rather can be regarded as a realization of a Poisson distributed random variable with mean ν, then the distribution of X becomes (e.g. Todorovic & Zelenhasic, 1970;Rossi et al, 1984):…”
Section: Basic Concepts Of Extreme Value Distributionsmentioning
confidence: 99%
“…If n is not constant, but rather can be regarded as a realization of a Poisson distributed random variable with mean ν, then the distribution of X becomes (e.g. Todorovic & Zelenhasic, 1970;Rossi et al, 1984):…”
Section: Basic Concepts Of Extreme Value Distributionsmentioning
confidence: 99%
“…A veces es necesario analizar no sólo por separado a las variables, a través de sus funciones de distribución marginal, sino también hay que analizarlas en forma conjunta, considerando una función de distribución bivariada. La determinación de los parámetros de dicha función es un problema que ha sido abordado por distintos autores usando diversos métodos de optimización como son el algoritmo de Rosenbrock, los métodos del tipo Newton Raphson o regresiones por mínimos cuadrados [3][4][5][6][7][8][9][10][11][12][13]. Una vez que los parámetros se han determinado, el siguiente problema es la obtención de los eventos de diseño para posteriormente construir el hidrograma de diseño.…”
Section: Introductionunclassified
“…The rainfall Intensity-Duration-Frequency (IDF) curves were estimated by regional analysis of the annual maxima of rainfall intensity performed with a probabilistic model based on the use of a Two Component Extreme Value Distribution [25], Maximum Likelihood estimator, and hierarchical estimation of regional model parameters [26]. In particular, we used a regional analysis of the annual maximums of precipitation in the Apulia region [27].…”
Section: Hydrologic Modelingmentioning
confidence: 99%