Library Subscription: Guest
Begell Digital Portal Begell Digital Library eBooks Journals References & Proceedings Research Collections
Journal of Automation and Information Sciences
SJR: 0.275 SNIP: 0.59 CiteScore™: 0.8

ISSN Print: 1064-2315
ISSN Online: 2163-9337

Volume 52, 2020 Volume 51, 2019 Volume 50, 2018 Volume 49, 2017 Volume 48, 2016 Volume 47, 2015 Volume 46, 2014 Volume 45, 2013 Volume 44, 2012 Volume 43, 2011 Volume 42, 2010 Volume 41, 2009 Volume 40, 2008 Volume 39, 2007 Volume 38, 2006 Volume 37, 2005 Volume 36, 2004 Volume 35, 2003 Volume 34, 2002 Volume 33, 2001 Volume 32, 2000 Volume 31, 1999 Volume 30, 1998 Volume 29, 1997 Volume 28, 1996

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 of Ukraine, Kiev


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.

Articles with similar content:

Ecological Indices for Assessment of the Pollution Level in Water Bodies: a Case Study of the Kilia Delta of the Danube
Hydrobiological Journal, Vol.40, 2004, issue 5
I. Kh. Bashmakova
Ecological-trophic Classification of the Small Reservoirs Used for Different Purposes
Hydrobiological Journal, Vol.46, 2010, issue 1
Yu. V. Pilipenko
Algae of the Russian Section of the Amur River Basin
Hydrobiological Journal, Vol.39, 2003, issue 6
L. A. Medvedeva, S. Ye. Sirotskiy
Minimization of Integral Square Estimates of Automatic Control Systems. Part II. Step by Step Approach
Journal of Automation and Information Sciences, Vol.36, 2004, issue 9
Valeriy P. Severin
Orientation Control of Artificial Satellite of Earth Using Set Estimates Prescribed by Linear Inequalities
Journal of Automation and Information Sciences, Vol.37, 2005, issue 10
Vladimir N. Shevchenko