2020
DOI: 10.5937/univtho10-24774
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Application of Mann-Kendal (MK) test in trend analysis of air temperature and precipitation: Case of Mačva district (Serbia)

Abstract: Recent climate changes cause significant natural and socio-economic consequences. They represent one of the major environmental problems of the late 20th and early 21st centuries. Changes in temperature and precipitation play a significant role in understanding climate change issues. They include numerous extreme climatic events such as heat waves, droughts, forest fires and more. Looking at regional differences in temperature and precipitation regime change, Southern Europe, including the Republic of Serbia, … Show more

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Cited by 11 publications
(6 citation statements)
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“…where sgn is a sign function, where a negative value indicates an uptrend and a positive value indicates an uptrend, while S is the MK test statistic, a statistically tested 0.05 reliability test. The absolute value of Z > 1.96 is significant, while Z ≤ 1.96 is not [36].…”
Section: Evaluation Index Of Et Accuracymentioning
confidence: 77%
“…where sgn is a sign function, where a negative value indicates an uptrend and a positive value indicates an uptrend, while S is the MK test statistic, a statistically tested 0.05 reliability test. The absolute value of Z > 1.96 is significant, while Z ≤ 1.96 is not [36].…”
Section: Evaluation Index Of Et Accuracymentioning
confidence: 77%
“…The Mann-Kendall mutation test is a nonparametric statistical test method, which is widely used for trend testing of longterm series of hydrometeorological data such as runoff and temperature [10] . This method is not only simple to calculate, but also less disturbed by outliers, has no requirements for sample data, can clarify the mutation starting point, and indicate the mutation time period region [11] .…”
Section: Mann-kendall Mutation Testmentioning
confidence: 99%
“…The precipitation and temperature trend tests are done using the Mann−Kendall (MK) test (Kendall 1975;Mann 1945), a non-parametric statistical test identifying monotonic increasing or decreasing trends. This method is extensively used in climatic variable trend analysis and to know the existence of a trend in the climatic variables (Milentijević et al, 2020;Mir et al, 2015;Sharma and Goyal, 2020;Sharma et al, 2016;Shivam et al, 2018b).…”
Section: Mann-kendall Trend Detectionmentioning
confidence: 99%