A new framework of designing sequential ranking-and-selection procedures

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)Not applicablepeer-review

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Detail(s)

Original languageEnglish
Title of host publicationProceedings of the 2017 Winter Simulation Conference (WSC)
EditorsW. K. V. Chan, A. D’Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, E. Page
PublisherIEEE
Pages2237-2244
ISBN (Electronic)978-1-5386-3428-8
Publication statusPublished - Dec 2017

Conference

Title2017 Winter Simulation Conference, WSC 2017
PlaceUnited States
CityLas Vegas
Period3 - 6 December 2017

Abstract

Many classical sequential procedures model the partial sum difference process between two competing alternatives as a Brownian motion process. In this paper, the marginal probability of eliminating the best alternative is considered while modeling the partial sum difference process. We adaptively allocate the total amount of the probability of incorrect selection α to every time point where the comparisons between alternatives are conducted and set the continuation regions to ensure the marginal probability of eliminating the best alternative does not exceed the probability assigned to each time point t. We show by examples that under our framework, the procedure can be easily developed for both indifference-zone (IZ) and IZ free formulations.

Citation Format(s)

A new framework of designing sequential ranking-and-selection procedures. / Zhong, Ying; Hong, L. Jeff.

Proceedings of the 2017 Winter Simulation Conference (WSC). ed. / W. K. V. Chan; A. D’Ambrogio; G. Zacharewicz; N. Mustafee; G. Wainer; E. Page. IEEE, 2017. p. 2237-2244.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)Not applicablepeer-review