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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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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spelling doaj-38e070fced4d4130bb1946b69a615cdf2020-11-25T02:57:24ZrusDon State Technical UniversityВестник Донского государственного технического университета1992-59801992-60062018-07-01102172182948IDENTIFICATION AUTOMATION OF THE DISTRIBUTION LAWS ON THE BASIS OF APPROXIMATE ANALYSIS OF THE EXPERIMENTAL DATAT. V. VASILYEVA0Иркутский государственный университетAn 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 setting up of the hypothesis about the distribution law. The method is considered on a detailed example.https://vestnik.donstu.ru/jour/article/view/960automation of the statistics analysisapproximationdistribution lawhypotheses provingfitting criteria.
collection DOAJ
language Russian
format Article
sources DOAJ
author T. V. VASILYEVA
spellingShingle T. V. VASILYEVA
IDENTIFICATION AUTOMATION OF THE DISTRIBUTION LAWS ON THE BASIS OF APPROXIMATE ANALYSIS OF THE EXPERIMENTAL DATA
Вестник Донского государственного технического университета
automation of the statistics analysis
approximation
distribution law
hypotheses proving
fitting criteria.
author_facet T. V. VASILYEVA
author_sort T. V. VASILYEVA
title IDENTIFICATION AUTOMATION OF THE DISTRIBUTION LAWS ON THE BASIS OF APPROXIMATE ANALYSIS OF THE EXPERIMENTAL DATA
title_short IDENTIFICATION AUTOMATION OF THE DISTRIBUTION LAWS ON THE BASIS OF APPROXIMATE ANALYSIS OF THE EXPERIMENTAL DATA
title_full IDENTIFICATION AUTOMATION OF THE DISTRIBUTION LAWS ON THE BASIS OF APPROXIMATE ANALYSIS OF THE EXPERIMENTAL DATA
title_fullStr IDENTIFICATION AUTOMATION OF THE DISTRIBUTION LAWS ON THE BASIS OF APPROXIMATE ANALYSIS OF THE EXPERIMENTAL DATA
title_full_unstemmed IDENTIFICATION AUTOMATION OF THE DISTRIBUTION LAWS ON THE BASIS OF APPROXIMATE ANALYSIS OF THE EXPERIMENTAL DATA
title_sort identification automation of the distribution laws on the basis of approximate analysis of the experimental data
publisher Don State Technical University
series Вестник Донского государственного технического университета
issn 1992-5980
1992-6006
publishDate 2018-07-01
description 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 setting up of the hypothesis about the distribution law. The method is considered on a detailed example.
topic automation of the statistics analysis
approximation
distribution law
hypotheses proving
fitting criteria.
url https://vestnik.donstu.ru/jour/article/view/960
work_keys_str_mv AT tvvasilyeva identificationautomationofthedistributionlawsonthebasisofapproximateanalysisoftheexperimentaldata
_version_ 1724711458861744128

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