Identification automation of the distribution laws on the basis of approximate analysis of the experimental data
Автор: Vasilyeva T.V.
Журнал: Вестник Донского государственного технического университета @vestnik-donstu
Рубрика: Физико-математические науки
Статья в выпуске: 2 (45) т.10, 2010 года.
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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 setting up of the hypothesis about the distribution law. The method is considered on a detailed example.
Automation of the statistics analysis, approximation, distribution law, hypotheses proving, fitting criteria
Короткий адрес: https://sciup.org/14249339
IDR: 14249339