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Verification of the gauss’s law with the unknown parameters by the Kolmogorov criterion in the problems of railways electric supply
Author(s) -
T.M. Lindenbaum,
O V Ignatieva
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2131/2/022093
Subject(s) - gauss , gaussian , power law , law , distribution (mathematics) , kolmogorov–smirnov test , mathematics , voltage , computer science , statistical hypothesis testing , statistics , engineering , physics , mathematical analysis , electrical engineering , quantum mechanics , political science
Traction currents and voltages in the overhead railroad contact line hypothetically obey the Gauss’s distribution law. An algorithm for statistical modeling of the Kolmogorov distribution for the unknown values of the Gaussian law parameters has been developed. For a large number of the modeling program implementations, it has been shown that testing the hypothesis about the distribution law without taking into account the number of unknown parameters leads to an unacceptable increase in the criterion significance and a decrease in its power. The distribution of the Kolmogorov criterion is calculated with sufficient accuracy for two unknown parameters, which allows its wide practical use.

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