- What is Mann-Kendall trend test?
- How does the Mann-Kendall test work?
- What is Mann-Kendall p value?
- Why we use Mann-Kendall test?
What is Mann-Kendall trend test?
The Mann-Kendall statistical test for trend is used to assess whether a set of data values is increasing over time or decreasing over time, and whether the trend in either direction is statistically significant. The Mann-Kendall test does NOT assess the magnitude of change.
How does the Mann-Kendall test work?
The Mann-Kendall test analyzes the sign of the difference between later-measured data and earlier-measured data. Each later-measured value is compared to all values measured earlier, resulting in a total of n(n-1)/2 possible pairs of data, where n is the total number of observations.
What is Mann-Kendall p value?
The seasonal Mann-Kendall test will tell us whether there is a trend not due to seasonality. The p-value (<0,0001) shows that the null hypothesis is rejected thus we may suggest that there is a significant trend in our time series when we take into account the 12-month seasonality.
Why we use Mann-Kendall test?
The Mann-Kendall Trend Test (sometimes called the MK test) is used to analyze time series data for consistently increasing or decreasing trends (monotonic trends).