The use of GLS regression in regional hydrologic analyses

By Veronica W. Griffis, Jery R. Stedinger. 2007

125 citations recorded by the source corpus.

Subfields: Environmental Engineering, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/8d5d56f3b8c727baadd358bc9ff4918c8efab6b4

How researchers see this paper

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

In Environmental Engineering

1. Ataur Rahman
2. K. Haddad
3. Jery R. Stedinger

In Global and Planetary Change

1. Ataur Rahman
2. K. Haddad
3. Jery R. Stedinger
4. Taha B. M. J. Ouarda
5. S. El Adlouni
6. Zhongmin Liang
7. Binquan Li
8. Wenjuan Chang

Citations in the corpus

• Design Flood Estimation in Ungauged Catchments: A Comparison Between the Probabilistic Rational Method and Quantile Regression Technique for NSW (2011, unknown): “Stedinger & Tasker, 1985; Tasker & Stedinger, 1989; Griffi s & Stedinger, 2007).”
• Regional flood frequency analysis using Bayesian generalized least squares: a comparison between quantile and parameter regression techniques (2012, methodology): “For the PRT, we adopted the GLS regression (Tasker and Stedinger, 1989 and Griffis and Stedinger, 2007) using a Bayesian framework (Reis et al., 2005) to develop regression equations for the parameters of the LP3 distribution (i.e. mean , standard deviation , and skew coefficient of the logarithms…”