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

Abstract

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.

Keywords

• automation of the statistics analysis
• approximation
• distribution law
• hypotheses proving
• fitting criteria.