ISSN:
1572-9443
Keywords:
Queueing theory
;
Bayesian analysis of queues
;
Shannon information
;
subjective probability
;
discrete DFR distributions
Source:
Springer Online Journal Archives 1860-2000
Topics:
Computer Science
Notes:
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.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/BF01150668
Permalink
