Journal of Automation and Information Sciences
Publication de 12 numéros par an
ISSN Imprimer: 1064-2315
ISSN En ligne: 2163-9337
SJR:
0.173
SNIP:
0.588
CiteScore™::
2
Indexed in
Synergetic aspects of the mathematical statistics
Volume 37,
Numéro 12, 2005,
pp. 1-9
DOI: 10.1615/J Automat Inf Scien.v37.i12.10
RÉSUMÉ
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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