3 papers
stat.AP2026
Prompt engineering using order-of-addition experiments: An application to generating two-level fractional factorial designs
Duoduo Danny Ying, Alan R. Vazquez, Hongquan Xu
Large language models (LLMs) are becoming ubiquitous in engineering and science because they can turn prompts into data analysis code, experimental designs, formulations of optimiz…
stat.ME2026
A systematic assessment of Large Language Models for constructing two-level fractional factorial designs
Alan R. Vazquez, Kilian M. Rother, Marco V. Charles-Gonzalez
Two-level fractional factorial designs permit the study multiple factors using a limited number of runs. Traditionally, these designs are obtained from catalogs available in standa…
stat.ME2025
Constructing Large Orthogonal Minimally Aliased Response Surface Designs by Concatenating Two Definitive Screening Designs
Alan R. Vazquez, Peter Goos, Eric D. Schoen
Orthogonal minimally aliased response surface (OMARS) designs permit the study of quantitative factors at three levels using an economical number of runs. In these designs, the lin…