Devyatchenko L.D., Sokolova E.I. A canonical connection between injuries and a human factor in ferrous metallurgy

Abstract

This article presents results of a canonical analysis of a multivariate statistical sample of 80, including 3 features of an M array – the human factor and 4 features of a T array – injuries at enterprises of ferrous metallurgy. There were obtained two independent statistically significant decisions: ρmax = 0,463920, ρ = 0,394816, characterizing the connection between multidimensional features M and T.

Keywords

Industrial injuries, human factor, canonical analysis, multidimensional array, correlation matrix, variance extracted.

Devyatchenko Leonid Dmitrievich – Ph.D. (Eng.), Associate Professor, Nosov Magnitogorsk State Technical University, Russia. Phone: +7 3519 298 524. E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it..

Sokolova Elvira Ildarovna – Postgraduate Student, Nosov Magnitogorsk State Technical University, Expert on Assessment of Working Conditions, LLC TsEAS-M, Russia. E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it..

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Details: Published: 10 September 2015; Last Updated: 10 September 2015; Hits: 2287