Library Subscription: Guest
Journal of Automation and Information Sciences

Published 12 issues per year

ISSN Print: 1064-2315

ISSN Online: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

Indexed in

Synergetic aspects of the mathematical statistics

Volume 37, Issue 12, 2005, pp. 1-9
DOI: 10.1615/J Automat Inf Scien.v37.i12.10
Get accessGet access

ABSTRACT

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.

Begell Digital Portal Begell Digital Library eBooks Journals References & Proceedings Research Collections Prices and Subscription Policies Begell House Contact Us Language English 中文 Русский Português German French Spain