The Mann-Kendall Test Modified by Effective Sample Size to Detect Trend in Serially Correlated Hydrological Series

By S. Yue, Chunyuan Wang. 2004

1,287 citations recorded by the source corpus.

Subfields: Environmental Engineering, Global and Planetary Change, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/483d790d2c9ab37c808d4cc6b2f58091606027e6

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In Environmental Engineering

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Citations in the corpus

Innovative Trend Methodology Applications to Precipitation Records in Turkey (2017, methodology): “In order to achieve independent structure pre-whitening procedure is suggested and applied by different researchers (Yue and Wang 2004; Bayazıt and Bihrat 2007).”
Non‐stationary intensity‐duration‐frequency curves integrating information concerning teleconnections and climate change (2018, methodology): “The selected method to perform this test is the revised Mann–Kendall test (Yue and Wang, 2004), which is a modified version of the traditional Mann–Kendall test taking into consideration the effects of autocorrelation.”
InSTREAM-Gen: Modelling eco-evolutionary dynamics of trout populations under anthropogenic environmental change (2016, background): “However, despite the fact that no assumption of normality is required for this test, there must be no serial correlation for the resulting p-values to be correct (Yue and Wang, 2004).”
Comparative study of wavelet-ARIMA and wavelet-ANN models for temperature time series data in northeastern Bangladesh (2017, methodology): “is widely used to analyze trends in climatological and hydrological time series (Yue and Wang, 2004).”
Trend Analysis in Reference Evapotranspiration Using Mann-Kendall and Spearman’s Rho Tests in Arid Regions of Iran (2011, result): “A comparison of the power of the MK and SR tests and their results showed the same power in detecting monotonic trends (Yue and Wang 2004; Novotny and Stefan 2007).”
pyMannKendall: a python package for non parametric Mann Kendall family of trend tests (2019, methodology): “This is also a variance correction method for considered serial autocorrelation proposed by Yue & Wang (2004).”
The Millennium Drought in southeast Australia (2001–2009): Natural and human causes and implications for water resources, ecosystems, economy, and society (2013, background): “It is noted that the assumption of n1⁄4 110 for the original time series should be considered a rough estimate only: effective sample size could potentially be further reduced by serial correlation in the original time series [Yue and Wang, 2004], and calculating the 5 year rolling averages may not ”
The modified Mann-Kendall test: on the performance of three variance correction approaches (2013, methodology): “Similar results were found for the MKRD and MKD by Hamed and Rao (1998) and Yue and Wang (2004), respectively.”
To prewhiten or not to prewhiten in trend analysis? (2007, methodology): “…is fundamentally wrong” because “… the existence of a trend in a time series will produce a spurious serial correlation when there is no serial correlation, and the presence of trend will increase the estimate of positive serial correlation when the serial correlation exists…” (Yue & Wang, 2004c).”
Block bootstrap for Mann–Kendall trend test of serially dependent data (2012, methodology): “Hamed and Rao (1998) used serial correlation coefficients of the ranks of the data, whereas Yue and Wang (2004) used serial correlation coefficients of the data.”