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2015 | OriginalPaper | Buchkapitel

Probability Density Function for Modulated MAP Event Flows with Unextendable Dead Time

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Abstract

We consider a modulated MAP flow of events with two states; it is one of the mathematical models for an incoming stream of claims (events) in digital integral servicing networks. The observation conditions for this flow are such that each event generates a period of dead time during which other events from the flow are inaccessible for observation and do not extend the dead time period (unextendable dead time). We find an explicit form for a probability density of interval duration between neighboring events in the observed flow. We consider the stationary operation mode for the observed flow, so we disregard the transient processes. The duration estimation of unextendable dead time is essential to determine the number of the lost events which have the useful information.

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Metadaten
Titel
Probability Density Function for Modulated MAP Event Flows with Unextendable Dead Time
verfasst von
Luydmila Nezhel’skaya
Copyright-Jahr
2015
DOI
https://doi.org/10.1007/978-3-319-25861-4_12