2020
DOI: 10.17531/ein.2020.1.12
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An aggregate criterion for selecting a distribution for times to failure of components of rail vehicles

Abstract: This paper presents an aggregate method of selecting a theoretical cumulative distribution function (CDF) for an empirical CDF. The method was intended to identify the time of reliable operation of a renewable technical object by applying three criteria based on the following statistics: the modified Kolmogorov–Smirnov (MK-S) statistic, the mean absolute deviation of the theoretical CDF from the empirical CDF, and a statistic calculated on the basis of a log-likelihood function. The values of these statistics … Show more

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Cited by 30 publications
(33 citation statements)
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“…Metaheuristic approach for solving transportation problem with fixed costs associated to the routes was presented in [14]. In distribution networks, rational transport management also requires organizational efforts related to the dynamics and type of tasks [15][16][17]. The costs of transport tasks should be optimized using methods and tools used not only in commercial solutions [18][19][20].…”
Section: Transportation Of Materials In Supply Networkmentioning
confidence: 99%
“…Metaheuristic approach for solving transportation problem with fixed costs associated to the routes was presented in [14]. In distribution networks, rational transport management also requires organizational efforts related to the dynamics and type of tasks [15][16][17]. The costs of transport tasks should be optimized using methods and tools used not only in commercial solutions [18][19][20].…”
Section: Transportation Of Materials In Supply Networkmentioning
confidence: 99%
“…Various researchers have tried to provide ef-ficient methods for estimating system reliability based on empirical data. Some of them proposed aggregate method of selecting a theoretical distribution for empirical data [19]. They applied three criteria for assessing the quality of the goodness of fit.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The Kolmogorov-Smirnov test was also used to compare the distributions of the number of accidents for each hour of the day [21,22]. At significance level α ∈ (0, 1), the following working hypothesis was formulated for hours i and j (0 ≤ i, j ≤ 23, i ≠ j): H 0 : the cumulative distribution functions for the number of accidents for hours i and j are identical,…”
Section: Kolmogorov-smirnov Testmentioning
confidence: 99%