AUTHOR(S):

Albert Voronin, Alina Savchenko

TITLE

Synergetic Aspects of Mathematical Statistics

ABSTRACT

A comparative analysis of aspects characteristic of both mathematical statistics methods and synergetic data integration methods is carried out. The results of the analysis are used to improve the efficiency of statistical estimates calculated from a small sample, as well as to develop estimates of the characteristics of objects and processes in synergetic data integration systems with a limited number of channels.

KEYWORDS

A comparative analysis of aspects characteristic of both mathematical statistics methods and synergetic data integration methods is carried out. The results of the analysis are used to improve the efficiency of statistical estimates calculated from a small sample, as well as to develop estimates of the characteristics of objects and processes in synergetic data integration systems with a limited number of channels.

Cite this paper

Albert Voronin, Alina Savchenko. (2025) Synergetic Aspects of Mathematical Statistics. International Journal of Computers, 10, 207-214

Copyright © 2025 Author(s) retain the copyright of this article.
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