A subjective Bayesian approach to the theory of queues I - Modeling

Michael F. Mcgrath, Donald Gross, Nozer D. Singpurwalla

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

64 Citations (Scopus)

Abstract

This is the first of an expository two-part paper which outlines a point of view different from that currently used in queueing theory. In both parts, the focus is on concepts. Here we adopt a personal probability point of view to all sources of uncertainty in the theory of queues and explore the consequences of our approach by comparing our results to those that are currently available. For ease of exposition, we confine attention to the M/M/1/∞ and the M/M/1/K queues. In Part I we outline the general strategy and focus on model development. In Part II we address the problem of inference in queues within the subjective Bayesian paradigm and introduce a use of Shannon's measure of information for assessing the amount of information conveyed by the various types of data from queues. © 1986 J.C. Baltzer AG, Scientific Publishing Company.
Original languageEnglish
Pages (from-to)317-333
JournalQueueing Systems: Theory and Applications
Volume1
Issue number4
DOIs
Publication statusPublished - May 1987
Externally publishedYes

Research Keywords

  • Bayesian analysis of queues
  • discrete DFR distributions
  • Queueing theory
  • Shannon information
  • subjective probability

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