M - | - Er - |排队模型中参数的贝叶斯估计及其有效性度量

Q3 Business, Management and Accounting
N. Bansal, V. Vaidyanathan, P. Chandrasekhar
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引用次数: 0

摘要

摘要本文给出了在误差平方损失函数(SELF)下,当观测数据处于独立的到达间隔时间和服务时间时,排队模型的交通强度的贝叶斯估计量及其后验贝叶斯风险。我们还得到了SELF下其他系统性能度量的贝叶斯估计量及其后验贝叶斯风险。通过仿真将贝叶斯估计量与极大似然估计量进行了比较。将所提出的贝叶斯方法应用于某银行ATM服务点的实际观测数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bayesian Estimation of Parameters and Measures of Effectiveness in an M|Er|1 Queueing Model
Abstract We obtain Bayes estimator and its posterior Bayes risk of traffic intensity for the queueing model under the squared error loss function (SELF), when the observed data is on independent inter-arrival times and service times. We also obtain the Bayes estimators and their posterior Bayes risk of other system performance measures under SELF. The Bayes estimators are compared against the maximum likelihood estimators through simulation. The proposed Bayesian methodology is carried out for a real data observed on an ATM service point of a bank.
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来源期刊
American Journal of Mathematical and Management Sciences
American Journal of Mathematical and Management Sciences Business, Management and Accounting-Business, Management and Accounting (all)
CiteScore
2.70
自引率
0.00%
发文量
5
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