Empirical bayesian analysis for traffic intensity: M/M/1 queues with covariates

Research output: Contribution to journalArticle

16 Citations (Scopus)

Abstract

In this paper, we consider a set of individual M/M/1 queues in which variations in both arrival rates and service rates are partly explained by some covariates representing associated characteristics of individual queues. The random error that takes into account the remaining variation is assumed to follow a gamma distribution. Bayes and empirical Bayes procedures are suggested to make inferences concerning individual traffic intensity parameters that can be applied to several industrial queueing problems.

Original languageEnglish
Pages (from-to)383-401
Number of pages19
JournalQueueing Systems
Volume22
Issue number3-4
DOIs
Publication statusPublished - 1996 Jan 1

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Random errors
Bayesian analysis
Covariates
Queue
Empirical Bayes
Queueing
Random error
Inference
Gamma distribution

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Management Science and Operations Research
  • Computational Theory and Mathematics

Cite this

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Empirical bayesian analysis for traffic intensity : M/M/1 queues with covariates. / Sohn, So Young.

In: Queueing Systems, Vol. 22, No. 3-4, 01.01.1996, p. 383-401.

Research output: Contribution to journalArticle

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