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  • 标题:Bayesian analysis of an M|M|1|∞ queueing model
  • 本地全文:下载
  • 作者:Naveen K.Bansal ; V.S.Vaidyanathan ; P.Chandrasekhar
  • 期刊名称:Pakistan Journal of Statistics and Operation Research
  • 印刷版ISSN:2220-5810
  • 出版年度:2022
  • 卷号:18
  • 期号:1
  • 页码:85-97
  • DOI:10.18187/pjsor.v18i1.3904
  • 语种:English
  • 出版社:College of Statistical and Actuarial Sciences
  • 摘要:In this paper, by considering an M|M|1|∞ queueing model, Bayes estimators of traffic intensity and measures of system performance are worked out under squared error loss function (SELF) based on observed data on the independent interarrival and service times. Further, minimum posterior risk associated with Bayes estimators of traffic intensity and system performance measures are obtained under SELF. Numerical illustration of the performance of the estimates is given through simulation study. It is shown that Bayes estimators perform better than the maximum likelihood estimators under the influence of prior information.
  • 关键词:Bayes estimator; exceedance probability; M |M |1|∞ queue; queue length; queue system size; squared error loss function; traffic intensity
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