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

DOI10.1007/978-3-319-44615-8_1zbMath1398.68059OpenAlexW2471217776MaRDI QIDQ4690223

Publication date: 22 October 2018

Published in: Communications in Computer and Information Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-44615-8_1

Mathematics Subject Classification ID

Queueing theory (aspects of probability theory) (60K25) Performance evaluation, queueing, and scheduling in the context of computer systems (68M20)

Cites Work

Unnamed Item
Unnamed Item
Unnamed Item
Unnamed Item
Estimation of the dead time period and parameters of an asynchronous alternative flow of events with unextendable dead time period
Modelling the mean of a doubly stochastic Poisson process by functional data analysis
Approximate methods in Bayesian point process spatial models
Estimating parameters of the synchronous twofold-stochastic flow of events
Estimation of parameters of a double-stochastic flow of events under conditions of its incomplete observability
Estimation of the dead time of an asynchronous double stochastic flow of events under incomplete observability
Optimal estimation of states of a double stochastic flow of events in the presence of measurement errors of time instants
Optimal state estimation in MAP event flows with unextendable dead time
Optimal estimation of the states of a synchronous double stochastic flow of events
An asynchronous double stochastic flow with initiation of superfluous events
A Monte Carlo Approach to Filtering for a Class of Marked Doubly Stochastic Poisson Processes
Joint Probability Density of the Intervals Length of the Modulated Semi-synchronous Integrated Flow of Events and Its Recurrence Conditions
A versatile Markovian point process

This page was built for publication: Maximum Likelihood Estimation of the Dead Time Period Duration in the Modulated Semi-synchronous Generalized Flow of Events