Innovative Variance Corrected Sen’s Trend Test on Persistent Hydrometeorological Data

Innovative Variance Corrected Sen’s Trend Test on Persistent Hydrometeorological Data

Trend detection in observations helps one to identify anthropogenic forces on natural hydrological and climatic systems. Hydrometeorological data are often persistent over time that deviates from the assumption of independence used by many statistical methods. A recently proposed Sen’s tre...

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Bibliographic Details
Main Authors: Wenpeng Wang, Yuelong Zhu, Bo Liu, Yuanfang Chen, Xu Zhao
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Water
Subjects:
trend analysis
sen’s trend test
persistent behavior
hurst phenomenon
random variability
variance correction
Online Access:https://www.mdpi.com/2073-4441/11/10/2119

Internet

https://www.mdpi.com/2073-4441/11/10/2119

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