The Mann-Kendall trend test is a nonparametric rank-based statistical technique used to assess the significance of the trend in time series data. The Mann-Kendall trend test is used to perceive statistically significant decreasing or increasing trend in long term temporal rainfall, temperature, evapotranspiration, humidity, pressure, stream flow etc. data.
Sen’s slope developed by Rasul et al. (2012) has been widely used to calculate the magnitude of trends in the long term temporal data. Sen’s slope is considered better to detect the linear relationship as it is not affected by outliers in the data. The unit of the Sen’s slope is the slope magnitude per year.
Sen’s slope developed by Rasul et al. (2012) has been widely used to calculate the magnitude of trends in the long term temporal data. Sen’s slope is considered better to detect the linear relationship as it is not affected by outliers in the data. The unit of the Sen’s slope is the slope magnitude per year.
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