Modified-MannKendall-Test

Version 2.0.0.0 (53.2 KB) by atharva aalok
A modified version of the Mann-Kendall Test that works with autocorrelated data.
5.0
(1)
213 Downloads
Updated 28 May 2023
View License on GitHub

Modified-MannKendall-Test

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To get started refer the file demo.m

Use

The modified Mann-Kendall test is a hypothesis test that determines whether a given sequence of data has a trend.
It builds upon the original Mann-Kendall test but is more powerful as it can account for autocorrelations within the data.

References

  1. Kendall, M. G. (1938). A new measure of rank correlation. Biometrika, 30(1/2), 81-93.
  2. Kendall, M. G. (1948). Rank correlation methods.
  3. Hamed, K. H., & Rao, A. R. (1998). A modified Mann-Kendall trend test for autocorrelated data. Journal of hydrology, 204(1-4), 182-196.
  4. Hamed, K. H. (2008). Trend detection in hydrologic data: the Mann–Kendall trend test under the scaling hypothesis. Journal of hydrology, 349(3-4), 350-363.
  5. Yue, S., & Wang, C. (2004). The Mann-Kendall test modified by effective sample size to detect trend in serially correlated hydrological series. Water resources management, 18(3), 201-218.

Cite As

atharva aalok (2024). Modified-MannKendall-Test (https://github.com/atharvaaalok/Modified-MannKendall-Test/releases/tag/v2.0), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2023a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Testing_Codes

Trial

Version Published Release Notes
2.0.0.0

See release notes for this release on GitHub: https://github.com/atharvaaalok/Modified-MannKendall-Test/releases/tag/v2.0
1.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.