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

So Young Sohn

doi:10.1007/BF01149180

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

So Young Sohn

Department of Industrial Engineering

Research output: Contribution to journal › Article › peer-review

17 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 language	English
Pages (from-to)	383-401
Number of pages	19
Journal	Queueing Systems
Volume	22
Issue number	3-4
DOIs	https://doi.org/10.1007/BF01149180
Publication status	Published - 1996 Oct

All Science Journal Classification (ASJC) codes

Statistics and Probability
Computer Science Applications
Management Science and Operations Research
Computational Theory and Mathematics

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

Abstract

All Science Journal Classification (ASJC) codes

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