2011Journal of Zhejiang International Studies UniversityRequires access

Bootstrap Confidence Interval of the Customer's Queue Length in M/G/c System

Xinsheng Ma

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Abstract

Proposed in this paper is a new method of estimating the customer's team length and queue length in M/G/c queuing system by Bootstrap resampling technique.The confidence intervals are constructed by three bootstrap methods,which are normal bootstrap confidence interval,pivot bootstrap confidence interval and percentile bootstrap confidence interval.The real data simulation results imply that the normal bootstrap confidence interval and percentile bootstrap confidence interval perform slightly superior to the pivot bootstrap confidence interval in terms of the length of the interval.

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What this paper is about

Proposed in this paper is a new method of estimating the customer's team length and queue length in M/G/c queuing system by Bootstrap resampling technique.The confidence intervals are constructed by three bootstrap methods,which are normal bootstrap confidence interval,pivot bootstrap confidence interval and percentile bootstrap confidence interval.The real data simulation results imply that the normal bootstrap confidence interval and percentile bootstrap confidence interval perform slightly superior to the pivot bootstrap confidence interval in terms of the length of the interval.

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Available abstract

Proposed in this paper is a new method of estimating the customer's team length and queue length in M/G/c queuing system by Bootstrap resampling technique.The confidence intervals are constructed by three bootstrap methods,which are normal bootstrap confidence interval,pivot bootstrap confidence interval and percentile bootstrap confidence interval.The real data simulation results imply that the normal bootstrap confidence interval and percentile bootstrap confidence interval perform slightly superior to the pivot bootstrap confidence interval in terms of the length of the interval.

Key concepts: Confidence interval, Robust confidence intervals, CDF-based nonparametric confidence interval, Statistics, Binomial proportion confidence interval, Percentile, Mathematics, Resampling

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