APPLICATION OF NONGAUSSIAN STATISTICAL MODELS IN THE PROBLEMS OF TECHNICAL OPERATION OF VEHICLES
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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | Russian |
| Published: |
Siberian State Automobile and Highway University
2017-08-01
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| Series: | Вестник СибАДИ |
| Subjects: | |
| Online Access: | https://vestnik.sibadi.org/jour/article/view/13 |
| Summary: | 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. |
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| ISSN: | 2071-7296 2658-5626 |