Mann-kendall trend test python

1. What is Mann-Kendall trend test?
2. How to determine if a trend is statistically significant Python?
3. How does the Mann-Kendall test work?

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 to determine if a trend is statistically significant Python?

If the p-value of the test is lower than some significance level (common choices are 0.10, 0.05, and 0.01), then there is statistically significant evidence that a trend is present in the time series data.

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.