Change-point analysis of hydrological time series using grey relational method | |
Xia J. | |
2006 | |
关键词 | change-point analysis grey relational method translational relational degree hydrological time series linear-programming approach bayesian-approach random-variables climatic variability humid africa fuzzy uncertainty prediction sequence inference |
英文摘要 | This paper establishes a grey relational method to test for change-points in hydrological data and illustrates its applications to the river net area of Shunde in China. A new concept, the translational relational degree, has also been introduced. We propose three translational relational degree formulae, which have been shown to better reflect the geometric proximity among sequences than existing grey relational degree formulae. These formulae produce consistent results leading to similar conclusions. (c) 2005 Elsevier B.V. All rights reserved. |
出处 | Journal of Hydrology |
卷 | 324 |
期 | 1-4 |
页 | 323-338 |
收录类别 | SCI |
语种 | 英语 |
ISSN号 | 0022-1694 |
内容类型 | SCI/SSCI论文 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/22803] ![]() |
专题 | 地理科学与资源研究所_历年回溯文献 |
推荐引用方式 GB/T 7714 | Xia J.. Change-point analysis of hydrological time series using grey relational method. 2006. |
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