APPLICATION OF NONGAUSSIAN STATISTICAL MODELS IN THE PROBLEMS OF TECHNICAL OPERATION OF VEHICLES
https://doi.org/10.26518/2071-7296-2017-3(55)-81-86
Abstract
The basic methods for approximating the elementary functions of the probability distribution density of a random sample from the general set of statistical material used in the field of operational reliability of cars are analyzed. It was proposed to use the Johnson and Pearson distribution systems to describe non-Gaussian experimental data, which allow us to describe practically any unimodal distributions. The effectiveness of the use of these distribution systems was investigated by statistical modeling. Results of approbation of statistical models on real data are presented.
About the Authors
V. A. Korchagin
FGBOU VO “Lipetsk GTU”
Russian Federation
Russian Federation
Viktor Alekseevich Korchagin – Doctor of Technical Sciences, Professor, Head of the Department “Motor Transport Management”
(398600, Lipetsk, 30 Moskovskaya St.)
V. I. Ignatenko
FGBOU VO “Lipetsk GTU”
Russian Federation
Russian Federation
Vladimir Ilyich Ignatenko – Candidate of Technical Sciences, Associate Professor, Department of Automobile Transport Management
(398600, Lipetsk, 30 Moskovskaya St.)
D. K. Sysoev
Institute of Service, Tourism and Design (branch) of the Federal North-Caucasian Federal University
Russian Federation
Russian Federation
Dmitriy Konstantinovich Sysoev – Candidate of Technical Sciences, Associate Professor
(357500, Pyatigorsk, Yermolov Str. Building, building A)
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Review
For citations:
Korchagin V.A., Ignatenko V.I., Sysoev D.K. APPLICATION OF NONGAUSSIAN STATISTICAL MODELS IN THE PROBLEMS OF TECHNICAL OPERATION OF VEHICLES. The Russian Automobile and Highway Industry Journal. 2017;(3(55)):68-74. (In Russ.) https://doi.org/10.26518/2071-7296-2017-3(55)-81-86
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