Implementation of the recovering corrections into the intermittent data analysis
B. Ziaja
Abstract
The improved method of intermittent data analysis is proposed. It exploits, in addition to the standard density moments, the information on the bin-bin correlations, observed in the data and expressed in terms of the density correlators. The improving recovering corrections are implemented into the data analysis in the form of the recursive algorithm, and tested in the framework of multiplicative cascading models.
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