Correlation information, apart from the possibility, and often the need for its application directly in mathematical processing, contains a number of other valuable data: the degree of influence of individual factors on the result of measurements, the presence of systematic errors, the course of time, etc. Autocorrelation analysis, as part of the overall correlation , allows us to evaluate the correlation between the components of the vector of measurement results.
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