Comment on “Applicability of prewhitening to eliminate the influence of serial correlation on the Mann‐Kendall test” by Sheng Yue and Chun Yuan Wang
By M. Bayazit, Bihrat Önöz. 2004
67 citations recorded by the source corpus.
Subfields: Global and Planetary Change, Nature and Landscape Conservation, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/bb9bc395b6bb8f0e037b8b9de5e407262bbdc6f4
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In Global and Planetary Change
In Nature and Landscape Conservation
In Statistics and Probability
Citations in the corpus
- Block bootstrap for Mann–Kendall trend test of serially dependent data (2012, background): “Bayazit and Önöz (2004) stated that ‘. . . the prevention of an error of false detection when it does not exist may be preferred to an error of not being able to detect a weak trend’.”
- To prewhiten or not to prewhiten in trend analysis? (2007, background): “Bayazit & Önöz (2004) and Zhang & Zwiers (2004) are not in M. Bayazit & B. Önöz Copyright © 2007 IAHS Press 614 agreement with the above reasoning.”
- Re-evaluation of the Power of the Mann-Kendall Test for Detecting Monotonic Trends in Hydrometeorological Time Series (2020, background): “The mutual interaction between serial correlation and trend makes this quite complicated and brings extensive debate on how to apply PW properly (Yue and Wang, 2002; Bayazit and Önöz, 2004; Zhang and Zwiers, 2004).”