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2016 | OriginalPaper | Chapter

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

Authors : Maria Bakholdina, Alexander Gortsev

Published in: Information Technologies and Mathematical Modelling - Queueing Theory and Applications

Publisher: Springer International Publishing

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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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Metadata
Title
Maximum Likelihood Estimation of the Dead Time Period Duration in the Modulated Semi-synchronous Generalized Flow of Events
Authors
Maria Bakholdina
Alexander Gortsev
Copyright Year
2016
Book
Information Technologies and Mathematical Modelling - Queueing Theory and Applications

Print ISBN: 978-3-319-44614-1

Electronic ISBN: 978-3-319-44615-8

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-44615-8_1

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