Log Pearson type 3 quantile estimators with regional skew information and low outlier adjustments

By Veronica W. Griffis, Jery R. Stedinger, T. Cohn. 2004

52 citations recorded by the source corpus.

Subfields: Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/c3296afbf4f5e1bb0305dbf9aba6606a595171f3

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In Global and Planetary Change

1. Jery R. Stedinger
2. Dirceu Silveira Reis
3. Veronica W. Griffis
4. Eduardo Sávio Passos Rodrigues Martins
5. Taha B. M. J. Ouarda
6. S. El Adlouni
7. A. C. Davison
8. Benjamin Renard

Citations in the corpus

• The use of GLS regression in regional hydrologic analyses (2007, methodology): “…approximation provided by Chowdury and Stedinger (1991), and the weight Wi is computed using MSE[gi] estimated using the approximation provided by Griffis et al. (2004) wherein the regional skew is used to estimate the population skew c. Griffis (2006) considers different estimators of c when…”
• Bayesian generalized least squares regression with application to log Pearson type 3 regional skew estimation (2005, methodology): “…in Bulletin 17B [Interagency Advisory Committee on Water Data (IACWD), 1982; McCuen, 1979] require the use of a regional skew estimator and its mean square error, and the use of an accurate regional skew with a small model error variance is known to be of a significant value [Griffis et al., 2004].”