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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
openaire   +1 more source

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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Determining the most accurate program for the Mann-Kendall method in detecting climate mutation

Theoretical and Applied Climatology, 2020
In the detection of abrupt changes in a time sequence using the Mann-Kendall method, two programs (PRGM1 and PRGM2) were found to provide two different mutation points for the same temperature sequence. The code of PRGM1 was programmed according to the step-by-step direction of the Mann-Kendall method described in the original report, and PRGM2 is the ...
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Modifiedmk: Modified Mann Kendall Trend Tests

2020
Patakamuri, Sandeep Kumar   +1 more
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Trendanalysen mit Mann-Kendall-Test und Theil-Schätzer

Umweltwissenschaften und Schadstoff-Forschung, 2007
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