Romero-Silva, RodrigoRodrigoRomero-SilvaHurtado-Hernandez, MargaritaMargaritaHurtado-Hernandez2023-07-302023-07-30201797833196696259783319669632https://scripta.up.edu.mx/handle/20.500.12552/442210.1007/978-3-319-66963-2_25This paper presents a simple methodology for estimating confidence intervals of quantiles in queueing systems. The paper investigates the actual probability density function of quantile estimators resulting of independent replications. Furthermore, we present a methodology, based on the concepts of bootstrapping, i.e., re-sampling and sub-sampling, to calculate the variability of an estimator without running different independent replications. Contrary to what overlapping and non-overlapping batching procedures suggest, we propose to randomly select data points to form a sub-sample, instead of selecting time-consecutive data points. The results of this study suggest that this proposal reduces the correlation between sub-samples (or batches) and overcomes the issue of normality. © 2017, Springer International Publishing AG.Resource Types::text::book::book part