Construction of a Predictive Model of a Nonstationary Random Process and Analysis of Its Trends and Covariance Functions.

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Bibliographic Details
Title: Construction of a Predictive Model of a Nonstationary Random Process and Analysis of Its Trends and Covariance Functions.
Authors: Stroganov, V. Yu.1 (AUTHOR), Belashova, I. S.2 (AUTHOR) Irina455@inbox.ru
Source: Journal of Experimental & Theoretical Physics. Mar2026, Vol. 142 Issue 3, p234-239. 6p.
Subjects: Simulation methods & models, Queueing networks, Distribution (Probability theory), Prediction models, Mathematical optimization, Stochastic processes
Abstract: This article proposes an approach to solving optimization problems where adequate estimates of the functional under study can only be obtained using simulation models of the systems under consideration. Such models include queueing network models with complex topological structures and probabilistic service time formalizations with general distribution laws. In these cases, analytical models cannot provide adequate calculation results for various model parameterizations. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
Abstract:This article proposes an approach to solving optimization problems where adequate estimates of the functional under study can only be obtained using simulation models of the systems under consideration. Such models include queueing network models with complex topological structures and probabilistic service time formalizations with general distribution laws. In these cases, analytical models cannot provide adequate calculation results for various model parameterizations. [ABSTRACT FROM AUTHOR]
ISSN:10637761
DOI:10.1134/S106377612660087X