Regional flood frequency analysis using Bayesian generalized least squares: a comparison between quantile and parameter regression techniques

By K. Haddad, Ataur Rahman, Jery R. Stedinger. 2012

107 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/ac5d195ef3107be3bea2043c710f14d819f45af5

Citations in the corpus

• A study on selection of probability distributions for at-site flood frequency analysis in Australia (2013, unknown): “…1981; Vogel et al. 1993; Onoz and Bayazit 1995; Bates et al. 1998; Laio 2004; Merz et al. 2008; Meshgi and Khalili 2009a, b; Laio et al. 2009; Merz and Thieken 2009; Ishak et al. 2010, 2011; Haddad et al. 2011, Haddad et al. 2012; Haddad and Rahman 2012; Zaman et al. 2012; Haddad et al. 2013).”
• A hierarchical Bayesian GEV model for improving local and regional flood quantile estimates (2016, unknown): “We refer the reader to the works of Gaume et al. (2010), Haddad et al. (2012), Kwon et al. (2008), Liang et al. (2011), Lima and Lall (2010), Martins and Stedinger (2000), Parent and Bernier (2003), Reis and Stedinger (2005), Renard (2011), Renard et al. (2006), Renard and Lall (2014), Viglione et…”