A generalized Grubbs-Beck test statistic for detecting multiple potentially influential low outliers in flood series-Reference-Cited by-同舟云学术

A generalized Grubbs-Beck test statistic for detecting multiple potentially influential low outliers in flood series

Published:2013-08 Issue:8 Volume:49 Page:5047-5058
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Cohn T. A.¹,England J. F.²,Berenbrock C. E.¹,Mason R. R.¹,Stedinger J. R.³,Lamontagne J. R.³

Affiliation:

1. Water Resources Division; U.S. Geological Survey; Reston Virginia USA

2. Flood Hydrology Group; U.S. Bureau of Reclamation; Denver Colorado USA

3. School of Civil and Environmental Engineering, Cornell University; Ithaca New York USA

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/wrcr.20392/fullpdf

Reference39 articles.

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3. Estimating contaminant loads in rivers: An application of adjusted maximum likelihood to type 1 censored data;Cohn;Water Resour. Res.,2005

4. Adjusted maximum likelihood estimation of the moments of lognormal populations from type 1 censored samples;Cohn;U.S. Geol. Surv. Open File Rep.,1988

5. An algorithm for computing moments-based flood quantile estimates when historical flood information is available;Cohn;Water Resour. Res.,1997

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