A framework for determining lowest navigable water levels with nonstationary characteristics-Reference-Cited by-同舟云学术

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A framework for determining lowest navigable water levels with nonstationary characteristics

Published:2021-08-02 Issue:2 Volume:36 Page:583-608
ISSN:1436-3240
Container-title:Stochastic Environmental Research and Risk Assessment
language:en
Short-container-title:Stoch Environ Res Risk Assess

Author:

Wang Lu,Xie Ping^ORCID,Xu Chong-Yu,Sang Yan-Fang,Chen Jie,Yu Tao

Funder

National Natural Science Foundation of China

Research Council of Norway

Youth Innovation Promotion Association of the Chinese Academy of Sciences

Publisher

Springer Science and Business Media LLC

Subject

General Environmental Science,Safety, Risk, Reliability and Quality,Water Science and Technology,Environmental Chemistry,Environmental Engineering

Link

https://link.springer.com/content/pdf/10.1007/s00477-021-02058-1.pdf

Reference82 articles.

1. Afifi AA, Azen SP (1972) Statistical analysis, a computer oriented approach. Academic Press, Harcourt Brace Jovanonich Publishers, New York, p 366

2. Ahn KH, Palmer RN (2016) Use of a nonstationary copula to predict future bivariate low flow frequency in the Connecticut river basin. Hydrol Process 30(19):3518–3532. https://doi.org/10.1002/hyp.10876

3. Bartels R (1982) The rank version of von Neumann’s ratio test for randomness. J Am Stat Assoc 77(377):40–46

4. Bras RL, Rodriguez-Iturbe I (1993) Random functions and hydrology. Dover Publications, New York

5. Brown MB, Forsythe AB (1974) Robust tests for the equality of variances. J Am Stat Assoc 69(346):364–367

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