The Neural Network Analysis of Normality of Small Samples of Biometric Data through Using the Chi-Square Test and Anderson–Darling Criteria

The Neural Network Analysis of Normality of Small Samples of Biometric Data through Using the Chi-Square Test and Anderson–Darling Criteria

Introduction. The aim of the work is to reduce the requirements to test sample size when testing the hypothesis of normality. Materials and Methods. A neural network generalization of three well-known statistical criteria is used: the chi-square criterion, the Anderson–Darling criterion in ordinary...

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Bibliographic Details
Main Authors: Vladimir I. Volchikhin, Aleksandr I. Ivanov, Alexander V. Bezyaev, Evgeniy N. Kupriyanov
Format: Article
Language:English
Published: National Research Mordova State University; MRSU 2019-06-01
Series:Инженерные технологии и системы
Subjects:
chi-square test
anderson–darling criterion
artificial neural network
statistical criterion
neural network reproduction of statistical criteria
neural network analysis
small sample
Online Access:http://vestnik.mrsu.ru/index.php/en/articles2-en/82-19-2/695-10-15507-0236-2910-029-201902-4

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http://vestnik.mrsu.ru/index.php/en/articles2-en/82-19-2/695-10-15507-0236-2910-029-201902-4

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