Optimal Experimental Designs for Process Robustness Studies

sponsorship: Ying Chen's research is funded by a grant from GlaxoSmithKline Biologicals S.A., Belgium. (GlaxoSmithKline Biologicals)

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Publication Details

Journal
Technometrics
Published
2025-10-31
DOI
https://doi.org/10.1080/00401706.2025.2580633
Primary Topic
Optimal Experimental Design Methods
Type
article
Field-Weighted Citation Impact
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article

Optimal Experimental Designs for Process Robustness Studies

Peter Goos, Bernard Francq, Y. B. Chen
Technometrics
Optimal Experimental Design Methods
article

Optimal Experimental Designs for Process Robustness Studies

Peter Goos, Bernard Francq, Y. B. Chen
article en

Abstract

sponsorship: Ying Chen's research is funded by a grant from GlaxoSmithKline Biologicals S.A., Belgium. (GlaxoSmithKline Biologicals)

Technometrics
Statistical Research (United States) (US), KU Leuven (BE)
Openalex Percentile: Top 63%
Optimal Experimental Design Methods
DOISourceOpenAlex
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Optimal Experimental Designs for Process Robustness Studies — Peter Goos, Bernard Francq, et al. · Technometrics (2025) | TGRS Research Map | TGRS