 Kolmogorov–Zurbenko filter (source code)

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= Kolmogorov–Zurbenko filter
{wiki=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.

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