IDENTIFICATION AUTOMATION OF THE DISTRIBUTION LAWS ON THE BASIS OF APPROXIMATE ANALYSIS OF THE EXPERIMENTAL DATA

IDENTIFICATION AUTOMATION OF THE DISTRIBUTION LAWS ON THE BASIS OF APPROXIMATE ANALYSIS OF THE EXPERIMENTAL DATA

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An algorithm of identification automation of the distribution laws on the basis of approximate analysis experimental data is given in the article. The method is founded on the decomposition statistics in Fourier series in space L2. There are two necessary and sufficient criteria for automatic settin...

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Bibliographic Details
Main Author:	T. V. VASILYEVA
Format:	Article
Language:	Russian
Published:	Don State Technical University 2018-07-01
Series:	Вестник Донского государственного технического университета
Subjects:	automation of the statistics analysis approximation distribution law hypotheses proving fitting criteria.
Online Access:	https://vestnik.donstu.ru/jour/article/view/960

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