Kernel Pattern Recognition Algorithm in the Task of Testing the Hypothesis of Distribution of Multidimensional Random Quantities

New method of testing hypotheses on distribution of multi-dimensional statistical data of large volume is considered. The possibility of replacing the hypothesis test on the identity of two laws of multivariate random values distribution with the hypothesis test on the equality of pattern recognitio...

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Bibliographic Details

Published in:	2020 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon) pp. 1 - 5
Main Authors:	Lapko, A.V., Lapko, V.A., Yuronen, E.A.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 06.10.2020
Subjects:	Industrial engineering Kernel kernel probability density estimation multivariate random quantities nonparametric pattern recognition algorithm Optimization Pattern recognition Pearson's chi-squared test random value range sampling statistical hypothesis validation Task analysis Testing Training
Online Access:	Get full text
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