An Approximate Algorithm for Simulating Stationary Discrete Random Processes with Bivariate Distributions of Their Consecutive Components in the Form of Mixtures of Gaussian Distributions

The paper presents an approximate algorithm for modeling a stationary discrete random process with marginal and bivariate distributions of its consecutive components in the form of a mixture of two Gaussian distributions. The algorithm is based on a combination of the conditional distribution method...

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Veröffentlicht in:Numerical analysis and applications Jg. 17; H. 2; S. 169 - 173
Hauptverfasser: Ogorodnikov, V. A., Akenteva, M. S., Kargapolova, N. A.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Moscow Pleiades Publishing 01.06.2024
Springer Nature B.V
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ISSN:1995-4239, 1995-4247
Online-Zugang:Volltext
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