Sequential Selection for Minimizing the Variance with Application to Crystallization Experiments-Reference-Cited by-同舟云学术

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Sequential Selection for Minimizing the Variance with Application to Crystallization Experiments

Published:2024-03-07 Issue: Volume: Page:1-10
ISSN:0003-1305
Container-title:The American Statistician
language:en
Short-container-title:The American Statistician

Author:

Kerfonta Caroline M.¹,Kim Sunuk²,Chen Ye³^ORCID,Zhang Qiong¹,Jiang Mo²^ORCID

Affiliation:

1. School of Mathematical and Statistical Sciences, Clemson University, Clemson, SC

2. Department of Chemical and Life Science Engineering, Virginia Commonwealth University, Richmond, VA

3. Department of Statistical Sciences and Operations Research, Virginia Commonwealth University, Richmond, VA

Funder

AIM for Composites, an Energy Frontier Research Center

U.S. Department of Energy, Office of Science, Basic Energy Sciences

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/00031305.2024.2314480

Reference27 articles.

1. On-demand continuous-flow production of pharmaceuticals in a compact, reconfigurable system

2. A Single-Sample Multiple Decision Procedure for Ranking Means of Normal Populations with known Variances

3. Complete expected improvement converges to an optimal budget allocation

4. “Balancing Optimal Large Deviations in Sequential Selection,”;Management Science,2022

5. Sequential selection for accelerated life testing via approximate Bayesian inference

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