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Trend analysis is one of the most important measurements in studying time series data. Both parametric and non-parametric tests are commonly used in trend analysis. Parametric tests require data to be independent and normally distributed. On the other hand, non-parametric trend tests require only that the data be independent and can tolerate outliers in the data (Hamed & Rao, 1998). However, parametric tests are more powerful than nonparametric ones.

pyMannKendall: a python package for non parametric Mann Kendall family of trend tests.