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Performance of partial Mann–Kendall tests for trend detection in the presence of covariates

Environmetrics, 2002
AbstractTrend analyses of time series of environmental data are often carried out to assess the human impact on the environment under the influence of natural fluctuations in temperature, precipitation, and other factors that may affect the studied response variable. We examine the performance of partial Mann–Kendall (PMK) tests, i.e.
Claudia Libiseller, Anders Grimvall
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Exact distribution of the Mann–Kendall trend test statistic for persistent data

Journal of Hydrology, 2009
The distribution-free Mann-Kendall test is widely used for the assessment of significance of trends in many hydrologic and climatic time series. Previous studies have suggested both exact and approximate formulas for the calculation of the variance of the test statistic when the data are serially correlated.
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Multiple Şen-innovative trend analyses and partial Mann-Kendall test

Journal of Hydrology, 2018
Abstract The climate change is an important event that affects hydrological, agricultural and water resources planning variables, and therefore, the hydrologists and meteorologists frequently try to identify trend possibilities especially in rainfall, runoff and temperature time series.
Yavuz Selim Güçlü
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Rainfall Trend Analysis by Mann–Kendall Test in Syria

The Arab World Geographer, 2022
This study investigates monthly, seasonal, and annual rainfall trends using the Mann–Kendall (MK) test, Sen’s slope (SS) method and linear regression analysis in Syria. Historical monthly rainfall records for the period 1960 to 2021 from 17 meteorological stations across the study area were used.
Sattam S. Al Shogoor   +2 more
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On the effectiveness of Mann-Kendall test for detection of software aging

2013 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW), 2013
Software aging (i.e. progressive performance degradation of long-running software systems) is difficult to detect due to the long latency until it manifests during program execution. Fast and accurate detection of aging is important for eliminating the underlying defects already during software development and testing.
Fumio Machida   +3 more
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A modified Mann-Kendall trend test for autocorrelated data

Journal of Hydrology, 1998
One of the commonly used tools for detecting changes in climatic and hydrologic time series is trend analysis. A number of statistical tests exist to assess the significance of trends in time series. One of the commonly used non-parametric trend tests is the Mann-Kendall trend test.
Khaled H. Hamed, A. Ramachandra Rao
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Block bootstrap for Mann–Kendall trend test of serially dependent data

Hydrological Processes, 2012
AbstractMann–Kendall (MK) test for trend detection must be modified when the data are serially correlated, to prevent the detection of false trends. Various approaches are developed for this purpose, such as prewhitening, trend‐free prewhitening, variance correction and block bootstrap. Each method has its own Type I and Type II errors.
Bihrat Önöz, Mehmetcik Bayazit
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A Pilot Protection Scheme of Hybrid DC Line based on Mann-Kendall Test

2020 IEEE Sustainable Power and Energy Conference (iSPEC), 2020
The hybrid DC transmission system combines the advantages of traditional HVDC and flexible DC transmission systems, which is an inevitable trend in the development of DC systems. Aiming at the problem that traditional DC pilot differential protection is susceptible to distributed line capacitance, a hybrid DC line pilot protection method based on Mann ...
Yuchen Yang   +4 more
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Mann-Kendall test with missing data

2009
Summary: The Mann-Kendall test [see \textit{H. B. Mann}, Econometrika 13, 245--259 (1945; Zbl 0063.03770)] for testing a time trend monotone in the variable is written as a \(U\)-statistic whose kernel is modified to take into account the missing data.
Ghariani, C., Molinari, Nicolas
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Improved visualization for trend analysis by comparing with classical Mann-Kendall test and ITA

Journal of Hydrology, 2020
Abstract This study compares classical Mann-Kendall (MK) test and simple Sen-innovative trend analysis (ITA) method by proposing a new trend analysis methodology with a special graphical representation. Another attempt is to classify sub-categories as “low” and “high” objectively by means of the Pettit change point test. The applications are based on
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