Log-Pearson Type 3 Distribution and Its Application in Flood Frequency Analysis. I: Distribution Characteristics
By Veronica W. Griffis, Jery R. Stedinger. 2007
133 citations recorded by the source corpus.
Subfields: Global and Planetary Change, Water Science and Technology
View Paper: https://www.semanticscholar.org/paper/d18662dbe82e8979f51f0ac8c121707a9366a5e8
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In Global and Planetary Change
- Jery R. Stedinger
- Veronica W. Griffis
- Jahangeer
- Vikram Kumar
- Shanu Khan
- Muhammad Farooq
- M. S. Khattak
- Muhammad Shafique
In Water Science and Technology
Citations in the corpus
- Flood frequency analysis of river swat using Log Pearson type 3, Generalized Extreme Value, Normal, and Gumbel Max distribution methods (2018, background): “The LP3 distribution is a Pearson Type 3 distribution, also referred as the Gamma distribution, is complicated having two interacting shape parameters (Stedinger and Griffis 2007).”
- Statistical distribution of rainfall in Uttarakhand, India (2017, methodology): “Generalized extreme value (GEV) distribution The class of GEV distributions is very flexible with the tail shape parameter n (and hence the tail index defined as a 1⁄4 n (1)) controlling the shape and size of the tails: FnðxÞ 1⁄4 exp ð1þ nxÞ 1=n with 1þ nx[ 0; n 61⁄4 0: ð4Þ The standardized GEV dist”
- The use of GLS regression in regional hydrologic analyses (2007, methodology): “Stedinger and Tasker (1985, 1986a,b) and Kroll and Stedinger (1998) show that GLS estimators are much more appropriate and efficient for use with hydrologic data than ordinary least squares (OLS) estimators.”