Regional flood frequency analysis in eastern Australia: Bayesian GLS regression-based methods within fixed region and ROI framework – Quantile Regression vs. Parameter Regression Technique

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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).”
Flood Prediction Using Machine Learning Models: Literature Review (2018, methodology): “For instance, the climatology average method (CLIM) [28], empirical orthogonal function (EOF) [30], multiple linear regressions (MLR), quantile regression techniques (QRT) [31], and Bayesian forecasting models [32] are widely used for predicting major ﬂoods.”