CORRELATION OF FACTORED WORKING CONDITIONS AND INJURIES IN THE STEEL INDUSTRY
https://doi.org/10.17073/0368-0797-2015-2-127-133
Abstract
Estimation of the effi ciency of linear connection modeling of factorized working conditions (13 variables are represented in 4 orthogonal factors) with 4 responses on injury rate is shown using regression and canonical analysis. It is established that a multiple correlation coeffi cient R for the responses taken by itself (injury cause, site and type of accident, severity of injury) has an average value = 0.38 including statistically signifi cant factors and canonical connection of these arrays taken into account in a target experiment is characterized by the value R = 0.6156. This is comparable with a human factor infl uence on injury rate (R = 0.4639) being identifi ed in the course of parallel experiment with the array data of person injured in consequence of health and safety accidents. At that, factor arrays considered in a target experiment do not have statistically signifi cant canonical correlation R = 0.2314. Practically the same informational value of the investigated arrays F (working conditions) and T (injury rate) was revealed after the target experiment completing.
About the Authors
L. D. DevyatchenkoRussian Federation
Cand. Sci. (Eng.), Assist. Professor of the Chair of Mathematics
E. I. Sokolova
Russian Federation
Postgraduate
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Review
For citations:
Devyatchenko L.D., Sokolova E.I. CORRELATION OF FACTORED WORKING CONDITIONS AND INJURIES IN THE STEEL INDUSTRY. Izvestiya. Ferrous Metallurgy. 2015;58(2):127-133. (In Russ.) https://doi.org/10.17073/0368-0797-2015-2-127-133