Results 291 to 300 of about 75,185 (327)

Developing high-resolution data to assess spatiotemporal patterns of meteorological drought in India (1981-2021). [PDF]

Sci Rep
Jana A.
europepmc   +1 more source

Temporal shifts in alternaria spore seasons increase the risk of allergy. [PDF]

Sci Rep
Humayun M, Ullah K, Naseem S, Baber S, Akbar N, Ali Z.   +5 more
europepmc   +1 more source

A Two-Step Approach for Trend Detection in Injection Molding: Mann-Kendall Test and Decision Trees

Procedia Computer Science
Du Nguyen Duy, Johannes Himmelbauer
openaire   +1 more source

Multi-model analysis of drought at the global scale: differences in Hydrological drought between the first and the second part of the 20th Centrury [PDF]

Estifanos, S., Hazenberg, P., Huijgevoort, M.H.J., van, Lanen, H.A.J., van, Weedon, G.P.   +4 more
core   +1 more source

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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.
Khaled H Hamed
exaly   +2 more sources

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
exaly   +2 more sources

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 Onoz
exaly   +2 more sources

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
Yavuz Selim Güçlü
exaly   +2 more sources