Bayesian prediction of the transient behaviour and busy period in short- and long-tailed GI/G/1 queueing systems

DOI10.1016/j.csda.2007.05.009zbMath1452.62215OpenAlexW2015777910MaRDI QIDQ1023490

Michael P. Wiper, María Concepción Ausín, Rosa Elvira Lillo

Publication date: 12 June 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2007.05.009

zbMATH Keywords

heavy tailsBayesian inferencequeueing systemstransient analysissemiparametric modellingreversible jumpcoxian distribution

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Bayesian inference (62F15) Queueing theory (aspects of probability theory) (60K25) Queues and service in operations research (90B22)

Related Items (6)

Computational Performance of Server Using the Mx/M/1 Queue Model ⋮ Improvement of expectation–maximization algorithm for phase‐type distributions with grouped and truncated data ⋮ A fully Bayesian approach to inference for Coxian phase-type distributions with covariate dependent mean ⋮ Using mixture of gamma distributions for Bayesian analysis in an M/G/1 queue with optional second service ⋮ Nonidentifiability of the Two-State Markovian Arrival Process ⋮ Bayesian Inference and Prediction in an M/G/1 with Optional Second Service

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