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2016 | OriginalPaper | Buchkapitel

Maximum Likelihood Estimation of the Dead Time Period Duration in the Modulated Semi-synchronous Generalized Flow of Events

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Abstract

This paper is focused on studying the modulated semi-synchronous generalized flow of events which is one of the mathematical models for incoming streams of events (claims) in computer communication networks and is related to the class of doubly stochastic Poisson processes (DSPPs). The flow is considered in conditions of its incomplete observability, when the dead time period of a constant duration T is generated after every registered event. This paper is devoted to the maximum likelihood estimation of the dead time period duration on monitoring the time moments of the flow events occurrence.

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Metadaten
Titel
Maximum Likelihood Estimation of the Dead Time Period Duration in the Modulated Semi-synchronous Generalized Flow of Events
verfasst von
Maria Bakholdina
Alexander Gortsev
Copyright-Jahr
2016
DOI
https://doi.org/10.1007/978-3-319-44615-8_1