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Journal of Automation and Information Sciences
SJR: 0.232 SNIP: 0.464 CiteScore™: 0.27

ISSN Imprimir: 1064-2315
ISSN En Línea: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/J Automat Inf Scien.v37.i12.10
pages 1-9

Synergetic aspects of the mathematical statistics

Albert N. Voronin
National Aviation University, Kiev, Ukraine

SINOPSIS

The comparative analysis of aspects typical both for methods of the mathematical statistics and synergetic methods of data complexation is carried out. The results of analysis are used for increase of effectiveness of statistical estimates, which are computed by a small sample, as well as for finding the most reliable estimates of the characteristics of objects and processes in synergetic systems of data complexation, number of channels being restricted.


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