Joint probability distribution of annual maximum storm peaks and amounts as represented by daily rainfalls

By S. Yue. 2000

87 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/c6a43662b3eaf2d54986064846828947d8b16223

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In Atmospheric Science

In Global and Planetary Change

Citations in the corpus

The Gumbel logistic model for representing a multivariate storm event (2000, methodology): “Yue [23] explored the use of the bivariate normal model for representing the joint statistical properties of non-normally distributed storm events that can be normalized by a transformation technique such as the Box± Cox approach [2].”
Exploring the ability of the Pettitt method for detecting change point by Monte Carlo simulation (2014, methodology): “…be normalized to approximately follow the normal distribution, using transformation techniques such as the Box–Cox transformation (Box and Cox 1964; Yue 2000), the normal quintiles transform (Moran 1969; Kelly and Krzysztofowicz 1997), the modified Box–Cox method (Varouchakis, et al. 2012), and…”
Asymmetric copula in multivariate flood frequency analysis (2006, methodology): “[18] and Yue [33] achieve this condition by preliminary data transformation through Box–Cox s formulas [2].”
IDF relationships using bivariate copula for storm events in Peninsular Malaysia (2012, background): “For instance, the marginals are assumed to be either normal (Yue, 2000) or possess the same type of probability distribution such as bivariate exponential (Favre et al., 2002; Goel et al., 2000), bivariate Gamma (Yue et al., 2001), bivariate lognormal (Yue, 2002) and bivariate extreme value…”
Frequency analysis of droughts using the Plackett copula and parameter estimation by genetic algorithm (2010, methodology): “Multivariate drought analyses using the methods employed in the above studies or used in other multivariate hydrological analyses (Singh and Singh 1991; Goel and Seth 1998; Yue 1999, 2000a, b, c; Yue et al. 1999, 2001; Yue and Rasmussen 2002; Bonaccorso et al. 2003a, b; Cancelliere and Salas 2004)”
Design hyetograph analysis with 3-copula function (2006, methodology): “This approach was re-proposed by Yue (2000a) introducing the optimization of the likelihood function to assess the parameters of the Box-Cox transformation.”
Trivariate statistical analysis of extreme rainfall events via the Plackett family of copulas (2008, background): “[4] However, these multivariate analyses needed to rely on particular forms of marginals (for instance, exponential distribution for average intensity and duration in above studies, and normal distribution with Box-Cox transformation as given by Yue [2000] ), and may not be applicable for other var”
A bivariate frequency analysis of extreme rainfall with implications for design (2007, methodology): “Usually, the proposed procedure was only suitable for particular forms of marginals, such as exponential distribution used by Co´rdova and Rodri´guez-Iturbe [1985], Singh and Singh [1991], Bacchi et al. [1994], Kurothe et al. [1997], and Goel et al. [2000], and normal distribution with Box-Cox trans”