The Limitations of the MK Method: Autocorrelation and its Impact on Test Significance

The MK method operates under the presupposition that time series are independent and random; nevertheless, the presence of autocorrelation in time series may impede the reliability of the test outcomes. Autocorrelation, the presence of correlation between observations at different points in time, violates the underlying assumption of independence in the MK method. This violation can lead to inaccurate conclusions regarding the significance of the test results, potentially misrepresenting the true trend in the time series data.