A comparison of various methods for obtaining confidence intervals for the design lowflow values of streams and rivers
作者:
Jaxk H. Reeves,
William P. McCormick,
期刊:
Applied Stochastic Models and Data Analysis
(WILEY Available online 1989)
卷期:
Volume 5,
issue 1
页码: 25-36
ISSN:8755-0024
年代: 1989
DOI:10.1002/asm.3150050104
出版商: John Wiley&Sons, Ltd.
关键词: Design low‐flow parameter;Parametric bootstrap;Non‐stationary Markov modelling
数据来源: WILEY
摘要:
AbstractThis paper describes an intriguing use of two relatively new statistical procedures, the bootstrap and non‐stationary Markov modelling, to obtain confidence intervals for the design low‐flow parameter, of great interest to hydrologists. The procedure described is applied to the stream‐flow data gathered over more than 50 years from six gauging sites in Georgia, and is found to yield confidence intervals which are typically shorter than those given by traditional me
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