Nonparametric and simulated analysis of intensity for a queueing system

DOI10.1016/J.AMC.2006.05.163zbMath1118.62039OpenAlexW1966893841MaRDI QIDQ865583

Jau-Chuan Ke, Yunn-Kuang Chu

Publication date: 19 February 2007

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2006.05.163

zbMATH Keywords

queueing theoryasymptotic properties of estimatorsqueues and servicestolerance and confidence region

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Nonparametric estimation (62G05) Non-Markovian processes: estimation (62M09) Nonparametric tolerance and confidence regions (62G15) Queueing theory (aspects of probability theory) (60K25)

Related Items (4)

Nonparametric Inference for Queueing Networks of Geom^X/G/∞ Queues in Discrete Time ⋮ UMVUEs and Bayes estimators for various performance measures on a Poisson queue with discouraged arrivals ⋮ Nonparametric inference for stochastic feedforward networks based on cross-spectral analysis of point processes ⋮ Confidence Intervals of Performance Measures for anM/G/1 Queueing System

Cites Work

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• A single server queue with random arrivals and balking: Confidence interval estimation
• Confidence interval for M/M/2 queue with heterogeneous servers
• Maximum likelihood estimation for single server queues from waiting time data
• Estimation inM/E_r/1 queueing systems
• On Estimation in M/G/c/c Queues
• Maximum Likelihood Estimates in a Simple Queue
• Maximum Likelihood Estimates in a M/M/2 Queue with Heterogeneous Servers
• Estimation in single server queues
• A Note on Bayesian Analysis in M/M/1 Queues Derived from Confidence Intervals
• Maximum likelihood estimates and confidence intervals of an M/M/R/N queue with balking and heterogeneous servers
• Point Estimation and Confidence Intervals of the M/M/2/N Queue with Balking and Heterogeneity

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