Results 241 to 250 of about 12,938 (272)

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

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
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, Mehmetçik Bayazit
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

Trend detection in hydrologic data: The Mann–Kendall trend test under the scaling hypothesis

Journal of Hydrology, 2008
The subject of trend detection in hydrologic data has received a great deal of attention lately, especially in connection with the anticipated changes in global climate. However, climatic variability, which is reflected in hydrologic data, can adversely affect trend test results.
Khaled H Hamed
exaly   +2 more sources

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.
Anders Grimvall
exaly   +2 more sources

Power of the Mann–Kendall and Spearman's rho tests for detecting monotonic trends in hydrological series

Journal of Hydrology, 2002
Abstract In many hydrological studies, two non-parametric rank-based statistical tests, namely the Mann–Kendall test and Spearman's rho test are used for detecting monotonic trends in time series data. However, the power of these tests has not been well documented. This study investigates the power of the tests by Monte Carlo simulation.
Sheng Yue
exaly   +2 more sources

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, Rahaf M. Alrawas, Esraa R. Tarawneh   +2 more
openaire   +1 more source

Wang and Swail (2001) implementation for significance of trends through the Mann-Kendall test.

2018
Data from Reguero, B.G, Losada, I.J., Mendez, F.J. (2019) A recent increase in global wave power as a consequence of oceanic warming. Nature Communications.
openaire   +1 more source