Bayesian Update of Hydrometeorological Probable Maximum Precipitation-Reference-Cited by-同舟云学术

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Bayesian Update of Hydrometeorological Probable Maximum Precipitation

Published:2019-11 Issue:11 Volume:24 Page:04019048
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Na Wooyoung¹,Yoo Chulsang²^ORCID

Affiliation:

1. Ph.D. Candidate, School of Civil, Environmental, and Architectural Engineering, College of Engineering, Korea Univ., Seoul 02841, Korea.

2. Professor, School of Civil, Environmental, and Architectural Engineering, College of Engineering, Korea Univ., Seoul 02841, Korea (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Environmental Science,Water Science and Technology,Civil and Structural Engineering,Environmental Chemistry

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29HE.1943-5584.0001851

Reference57 articles.

1. Coupled rainfall model and discharge model for flood frequency estimation

2. A Markov Chain Monte Carlo Scheme for parameter estimation and inference in conceptual rainfall-runoff modeling

3. LII. An essay towards solving a problem in the doctrine of chances. By the late Rev. Mr. Bayes, F. R. S. communicated by Mr. Price, in a letter to John Canton, A. M. F. R. S

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