Selection of the best fit flood frequency distribution and parameter estimation procedure: a case study for Tasmania in Australia
By K. Haddad, Ataur Rahman. 2011
129 citations recorded by the source corpus.
Subfields: Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/963d9ac6055baf72f886bc8f55e1e74df9d751b7
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In Global and Planetary Change
Citations in the corpus
- A study on selection of probability distributions for at-site flood frequency analysis in Australia (2013, methodology): “The AIC, based on the principle of maximum entropy, has been used in flood frequency model selection in several previous studies (e.g., Strupczewski et al. 2002; Laio et al. 2009; Haddad and Rahman 2010).”
- Selection of the best fit probability distribution in rainfall frequency analysis for Qatar (2017, methodology): “Furthermore, there are many parameter estimation methods available that could possibly be applied with a selected probability distribution (Haddad and Rahman 2010). Numerous studies have been conducted around the world on the selection of probability distributions in flood frequency analyses (e.g. C”
- Bayesian flood frequency analysis in the light of model and parameter uncertainties (2012, methodology): “However, it is difficult to find the best fit distribution and parameter estimation method from lots of candidate flood frequency analysis approaches (Haddad and Rahman 2003).”
- Magnitude Frequency Analysis of Small Floods Using the Annual and Partial Series (2013, methodology): “The parameters of the GPD were estimated [34] using a maximum likelihood approach [40].”