Large sample Bayesian analysis for geo/G/1 discrete-time queueing models

被引:14
作者
Conti, PL
机构
[1] Univ Bologna, Dipartimento Sci Stat, I-40126 Bologna, Italy
[2] Duke Univ, Inst Stat & Decis Sci, Durham, NC 27706 USA
关键词
queues; consistency; asymptotics; Bernstein-von Mises theorem; teletraffic;
D O I
10.1214/aos/1017939239
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
In this paper, a nonparametric Bayesian analysis of queueing models with geometric input and general service time is performed. In particular, statistical inference for the probability generating function (p.g.f.) of the equilibrium waiting time distribution is considered. The consistency of the posterior distribution for such a p.g.f., as well as the weak convergence to a Gaussian process of a suitable rescaling, are proved. As by-products, results on statistical inference for queueing characteristics are also obtained. Finally, the problem of estimating the probability of a long delay is considered.
引用
收藏
页码:1785 / 1807
页数:23
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