Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций
Конференция: CTAM 2024; Komsomolsk-na-Amure, Russia; Komsomolsk-na-Amure, Russia
Год издания: 2025
Идентификатор DOI: 10.1007/978-3-031-90546-9_14
Ключевые слова: Kolmogorov-Smirnov test, normal distribution, hypothesis, critical value, maximum deviation, digital twin
Аннотация: The research analyzes the use of the Kolmogorov-Smirnov mathematical test to identify the statistical significance of the vectors of the digital twin of the enterprise. The theoretical foundations of this test, including its mathematical formulation and application conditions, have been studied. Criteria for the significance of vecПоказать полностьюtors are defined, taking into account the specifics of the data and the goals of the analysis. The null and alternative hypotheses regarding the significance of the selected set of vectors are formulated. The maximum vertical deviation between the empirical data distribution function and the theoretical distribution is calculated. The critical estimate of the level of significance of the test for making decisions about hypotheses has been established. The analysis of the results with conclusions about the influence of vectors on the modeling and optimization of the system is carried out.
Журнал: Computing Technologies and Applied Mathematics
Номера страниц: 199-212
Место издания: Springer Cham