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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 However, parametric tests are more powerful than nonparametric ones.
Hussain et al. (Thu,) studied this question.
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