Separation of a Mixture of Three-Parameter Lognormal Distributions in the Analysis of Communication Environments
| Autor: | V. D. Kozlov, Archil Maysuradze |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Estimation theory
Context (language use) 01 natural sciences 010101 applied mathematics Computational Mathematics Transmission (telecommunications) 0103 physical sciences Expectation–maximization algorithm Log-normal distribution Identifiability Applied mathematics Standard algorithms 010307 mathematical physics Point estimation 0101 mathematics Mathematics |
| Zdroj: | Computational Mathematics and Modeling. 30:311-319 |
| ISSN: | 1573-837X 1046-283X |
| Popis: | Methods for the separation of a mixture of three-parameter lognormal distributions are investigated theoretically and empirically in the context of modeling message transmission delays in a computer cluster communication environment. Delay modeling based on mixtures of three-parameter lognormal distributions is proposed and parameter estimation methods for such models are investigated. Identifiability of the given family of distributions is proved, which is a necessary condition for the mixture separation problem to be well-posed. The proposed problem-oriented modifications of the standard algorithms are shown to be superior to the traditional methods. |
| Databáze: | OpenAIRE |
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