Regional flood quantile estimation under linear transformation of the data

Water Resources Research

Volumn 36, Issue 6, 2000, Pages 1605-1610

  Arsenault, Michel ^a   Ashkar, Fahim ^a  

^a UNIVERSITÉ DE MONCTON   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ESTIMATION METHOD; FLOOD; FLOOD FREQUENCY; PERFORMANCE ASSESSMENT; STATISTICAL ANALYSIS;

EID: 0034032267     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2000WR900040     Document Type: Article

References (13)

1. Arsenault, M., and F. Ashkar, At-site versus regional flood quantile estimation: Some notes regarding linear transformation of the data, scientific report, Dep. of Math. and Stat., Univ. de Moncton, Moncton, New Brunswick, Canada, 1998.
2. Hosking, J. R. M., L-moments: Analysis and estimation of distributions using linear combination of order statistics, J. R. Stat. Soc., Ser. B, 52(1), 105-124, 1990.
3. Hosking, J. R. M., and J. R. Wallis, The effect of intersite dependence on regional flood frequency analysis, Water Resour. Res., 24(4), 588-600, 1988.
4. Hosking, J. R. M., and J. R. Wallis, A comparison of unbiased and plotting-position estimators of L moments, Water Resour. Res., 31(8), 2019-2025, 1995.
5. Hosking, J. R. M., J. R. Wallis, and E. F. Wood, Estimation of the generalized extreme-value distribution by the method of probability-weighted moments, Technometrics, 27(3), 251-261, 1985a.
6. Hosking, J. R. M., J. R. Wallis, and E. F. Wood, An appraisal of the regional flood frequency procedure in the UK Flood Studies Report, Hydrol. Sci. J., 30(1), 85-109, 1985b.
7. Landwehr, J. M., N. C. Matalas, and J. R. Wallis, Probability weighted moments compared with some traditional techniques in estimating Gumbel parameters and quantiles. Water Resour. Res., 15(5), 1055-1064, 1979.
8. Lettenmaier, D. P., J. R. Wallis, and E. F. Wood, Effect of regional heterogeneity on flood frequency estimation, Water Resour. Res., 23(2), 313-323, 1987.
9. Madsen, H., and D. Rosbjerg, The partial duration series method in regional index-flood modeling, Water Resour. Res., 33(4), 737-746, 1997.
10. Madsen, H., C. P. Pearson, and D. Rosbjerg, Comparison of annual maximum series and partial duration series methods for modeling extreme hydrologic events, 2, Regional modeling, Water Resour. Res., 33(4), 759-769, 1997a.
11. Madsen, H., P. F. Rasmussen, and D. Rosbjerg, Comparison of annual maximum series and partial duration series methods for modeling extreme hydrologic events, 1, At-site modeling, Water Resour. Res., 33(4), 747-757, 1997b.
12. Stedinger, J. R., and L. H. Lu, Appraisal of regional and index flood quantile estimators, Stochastic Hydrol. Hydraul., 9, 49-75, 1995.
13. Wallis, J. R., and E. F. Wood, Relative accuracy of Log Pearson 3 procedures, J. Hydraul. Eng., 111(7), 1043-1057, 1985.