Bias correction for estimation of performance measures of a Markovian queue.

dc.contributor.authorAlmeida, Marcio Augusto da Cruz
dc.contributor.authorCruz, Frederico Rodrigues Borges da
dc.contributor.authorOliveira, Fernando Luiz Pereira de
dc.contributor.authorSouza, Gustavo Henrique Costa de
dc.date.accessioned2018-10-24T14:17:55Z
dc.date.available2018-10-24T14:17:55Z
dc.date.issued2017
dc.description.abstractThere are several situations in our daily lives in which queues are present, such as cafeterias, supermarkets, banks, gas stations, and so forth. The performance of such queues can be described by several measures. In this article, the focus is on estimates of traffic intensity ( ρ ), also called the utilization factor of the service station, the expected number of customers in the system (L), and the average queue size ( Lq ) for infinite single-serve queues with Poisson arrivals and exponential (Markovian) service times. The computational experiments show that the maximum likelihood estimators (MLEs) of the performance measures are biased for small and moderate samples ( n<50 ). Thus, a version corrected by the nonparametric bootstrap method is analyzed, demonstrating that researchers could achieve with an extra computational effort bias-corrected estimates for samples of size n=10 with average errors equivalent to the estimates from the MLE for samples of size n=200 . This reduction can be very important in practical applications because of the cost and time reduction that it may bring to the process of estimating the performance measures of a queueing system.pt_BR
dc.identifier.citationALMEIDA, M. A. da C. et al. Bias correction for estimation of performance measures of a Markovian queue. Operational Research, out. 2017. Disponível em: <https://link.springer.com/article/10.1007/s12351-017-0351-4>. Acesso em: 16 jun. 2018.pt_BR
dc.identifier.issn18661505
dc.identifier.urihttp://www.repositorio.ufop.br/handle/123456789/10433
dc.identifier.uri2https://link.springer.com/article/10.1007/s12351-017-0351-4pt_BR
dc.language.isoen_USpt_BR
dc.rightsrestritopt_BR
dc.subjectBootstrappt_BR
dc.titleBias correction for estimation of performance measures of a Markovian queue.pt_BR
dc.typeArtigo publicado em periodicopt_BR
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