Abo Bibliothek: Guest
Digitales Portal Digitale Bibliothek eBooks Zeitschriften Referenzen und Berichte Forschungssammlungen
Journal of Automation and Information Sciences
SJR: 0.275 SNIP: 0.59 CiteScore™: 0.8

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

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

ABSTRAKT

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:

On Application of Informational Criteria in Problems of Control of Nonlinear Stochastic Systems
Journal of Automation and Information Sciences, Vol.34, 2002, issue 11
Vladimir A. Pogorelov, Sergey V. Sokolov
SURROGATE PREPOSTERIOR ANALYSES FOR PREDICTING AND ENHANCING IDENTIFIABILITY IN MODEL CALIBRATION
International Journal for Uncertainty Quantification, Vol.5, 2015, issue 4
Daniel W. Apley, Zhen Jiang, Wei Chen
Estimation of Parameters in Linear Multidimensional Systems under Interval Uncertainty
Journal of Automation and Information Sciences, Vol.38, 2006, issue 2
Boris T. Polyak, Sergey A. Nazin
SEQUENTIAL SPARSITY ITERATIVE OPTIMAL DESIGN MODEL FOR CALIBRATION OF COMPLEX SYSTEMS WITH EPISTEMIC UNCERTAINTY
International Journal for Uncertainty Quantification, Vol.6, 2016, issue 2
Chang Li, Weifeng Li, Xiaojun Duan
A SYSTEMATIC APPROACH FOR QUANTIFYING AND IMPROVING CFD COMPUTATIONS OF COMPLEX FLOWS
TSFP DIGITAL LIBRARY ONLINE, Vol.4, 2005, issue
M. Yousuff Hussaini, Svetlana V. Poroseva, Stephen L. Woodruff