序列:估计稳态分位数的顺序程序

C. Alexopoulos, D. Goldsman, Anup C. Mokashi, Rong Nie, Qing Sun, Kai-Wen Tien, James R. Wilson
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引用次数: 8

摘要

Sequest是一个完全顺序的过程,通过结合批处理和分段的思想,为指定的稳态分位数提供改进的点和置信区间(CI)估计。Sequest采用了有效的方法来完成以下工作:(a)消除由模拟初始化或模拟运行长度(样本量)不足引起的基于切片的点估计器中的偏差;(b)根据指定分位数的基于批处理的点估计量的偏度或相关性的影响,调整CI半长。Sequest交付了一个CI,旨在满足用户指定的关于CI的覆盖概率及其绝对或相对精度的需求。我们发现,Sequest在一系列测试问题(包括一些设计用于“压力测试”过程的问题)上对过程的性能进行初步评估时,表现出良好的小样本和大样本特性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sequest: A sequential procedure for estimating steady-state quantiles
Sequest is a fully sequential procedure that delivers improved point and confidence-interval (CI) estimators for a designated steady-state quantile by exploiting a combination of ideas from batching and sectioning. Sequest incorporates effective methods to do the following: (a) eliminate bias in the sectioning-based point estimator that is caused by initialization of the simulation or an inadequate simulation run length (sample size); and (b) adjust the CI half-length for the effects of skewness or correlation in the batching-based point estimators of the designated quantile. Sequest delivers a CI designed to satisfy user-specified requirements concerning both the CI's coverage probability and its absolute or relative precision. We found that Sequest exhibited good small- and large-sample properties in a preliminary evaluation of the procedure's performance on a suite of test problems that includes some problems designed to “stress test” the procedure.
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