Historical information in a generalized Maximum Likelihood Framework with partial duration and annual maximum series

By Eduardo Sávio Passos Rodrigues Martins, Jery R. Stedinger. 2001

63 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Soil Science

View Paper: https://www.semanticscholar.org/paper/947e58586474c8f527aad0b4b826b4c68c087ad7

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Global and Planetary Change

In Soil Science

Citations in the corpus

Stochastic modeling of flood peaks using the generalized extreme value distribution (2002, methodology): “MLE-based methods, however, can easily incorporate additional information, such as censored data [Prescott and Walden, 1983] or a known prior distribution for k [Martins and Stedinger, 2000, 2001].”
New asymptotic and preasymptotic results on rainfall maxima from multifractal theory (2009, methodology): “We thank Bellie Sivakumar and two anonymous reviewers for their comments and suggestions.”
Threshold detection for the generalized Pareto distribution: Review of representative methods and application to the NOAA NCDC daily rainfall database (2016, unknown): “…et al., 1983; Smith, 1985; Leadbetter, 1991; Stedinger et al., 1993; Coles, 2001; Lucarini et al., 2016] and empirical evidences [see e.g., Martins and Stedinger, 2001a, 2001b; Deidda and Puliga, 2006; Veneziano et al., 2007, 2009; Deidda, 2010; Veneziano and Yoon, 2013; Papalexiou et…”
On the block maxima method in extreme value theory: PWM estimators (2013, methodology): “97) and Madsen, Rasmussen and Rosbjerg (1997) write that POT is preferable for γ >0, whereas for γ <0, BM is more eﬃcient, again with the number of exceedances larger than the number of blocks; Martins and Stedinger (2001) state that the gains (when using historical data) with the BM model are”
Estimation of high return period flood quantiles using additional non-systematic information with upper bounded statistical models (2010, unknown): “…Jin and Stedinger (1989), Stevens (1992), Pilon and Adamowski (1993), Frances et al. (1994), Cohn et al. (1997), Jarret and Tomlinson (2000), Martins and Stedinger (2001), O’Conell et al. (2002), England et al. (2003), Naulet et al. (2005), Reis and Stedinger (2005) and Merz and Blöschl…”
Nonstationary frequency analysis of extreme daily precipitation amounts in Southeastern Canada using a peaks-over-threshold approach (2017, methodology): “Indeed, it is important to tackle these problems of values with no physical significance because, as shown by Martins and Stedinger (2001a), the range of the GEV like that of the GPD depends on the shape parameter.”
Model and parameter uncertainty in IDF relationships under climate change (2015, background): “5) consistent with rainfall and flood flows observed worldwide [21,30].”
Bayesian flood frequency analysis in the light of model and parameter uncertainties (2012, background): “The use of historical and/or paleo-information could be of great value in the reduction of uncertainties in flood frequency analysis (Stedinger and Cohn 1986; Pilon and Adamowski 1993; Cohn et al. 1997; Kuczera 1999; Martins and Stedinger 2001; O’Connell et al. 2002; Reis and Stedinger 2005; Micevsk”