 Kolmogorov–Zurbenko filter

The Kolmogorov–Zurbenko (KZ) filter, named after mathematicians Andrey Kolmogorov and Vladimir Zurbenko, is a statistical method used for smoothing time series data. It is particularly useful for the analysis of time series that may contain noise or outliers, and it is a powerful tool in many fields, including meteorology, environmental science, and economics.