毫秒表Influence of a prior distribution on traffic intensity estimation with covariates
期刊名称： Journal of Statistical Computation & Simulation
作者： Sohn,So Young视频英文>cunnilingus
年份： 1996年
期号： 第3期
关键词： M/M/1 queue; queuing performance; conjugate prior; lognormal项目管理信息化
distribution; empirical Bayes procedure; simulation
北京崇文门新世界
摘要：In this paper, veral methods are suggested to estimate the expected traffic intensity () in M/M/1 queues with covariates. A Monte-Carlo simulation is
neither是什么意思>毛利额ud to generate M/M/1 queues where the arrival (rvice) rates are governed by both their covariate effects and the random error which follows a lognormal distribution. An ad hoc estimator derived for traf
fic intensity bad on a lognormal prior. Its performance is compared to tho of the following procedures, when the true prior is a lognormal distributionempirical Bayes estimator obtained bad on a gamma prior distribution , model bad regression estimator and data bad raw estimator . Results of a simulation study indicate that the performance of is reasonable; the overall performance of is not significantly different from that of
symptomand can replace both and , when the
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