Asymptotic bias of estimation methods caused by the assumption of false probability distribution-Reference-Cited by-同舟云学术

Asymptotic bias of estimation methods caused by the assumption of false probability distribution

Published:2002-02 Issue:1-4 Volume:258 Page:122-148
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Strupczewski Witold G,Singh Vijay P,Weglarczyk Stanislaw

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference45 articles.

1. Sample error of T-year events computed by fitting a Pearson type 3 distribution;Bobee;Water Resources Research,1973

2. Bras, R.L., Moghamian, M.S., McLaughlin, D.B., 1985. Estimation of flood frequency: a comparison of physically-based procedures. US–China Bilateral Symposium on the Analysis of Extra-ordinary Flood Events.

3. Bias and variance of quantile estimates from a partial duration series;Buishand;Journal of Hydrology,1990

4. Flood frequency analysis for small watersheds in southern Illinois;Chong;Water Resources Bulletin,1983

5. The log-Pearson type 3 distribution: the T-year event and its asymptotic standard error by maximum likelihood theory;Condie;Water Resources Research,1977

Cited by 42 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Comparison of conventional and differential evolution-based parameter estimation methods on the flood frequency analysis;Acta Geophysica;2021-08-06

2. Bibliography;Water‐Quality Engineering in Natural Systems;2021-02-22

3. Quantile Mixture and Probability Mixture Models in a Multi-Model Approach to Flood Frequency Analysis;Water;2020-10-13

4. The bias of the maximum likelihood estimates of flood quantiles based solely on the largest historical records;Journal of Hydrology;2020-05

5. Estimating Maximum Daily Precipitation in the Upper Vistula Basin, Poland;Atmosphere;2019-01-23