Caleb King

SAS Institute (United States) — United States

Decision Sciences · Social Sciences

7h-index212citations40works0.92yr avg
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Research Topics

Probabilistic and Robust Engineering Design(12), Reliability and Maintenance Optimization(10), Optimal Experimental Design Methods(7), Software Reliability and Analysis Research(7), Statistical Distribution Estimation and Applications(6)

Publications40 total

Applied Statistics in the Era of Artificial Intelligence: A Review and Vision
Applied Stochastic Models in Business and Industry·2026
Design Fractals: A New Visual Aid for Assessing Design Coverage and Augmentation
Quality and Reliability Engineering International·2025
DR-AIR: A data repository bridging the research gap in AI reliability
Quality Engineering·2025· 1 cited
What Quality Engineers Need to Know about Degradation Models
arXiv (Cornell University)·2025Open Access
A critical assessment of neutrosophic statistical methods
Quality Engineering·2025· 4 cited
Bridging the Data Gap in AI Reliability Research and Establishing DR-AIR, a Comprehensive Data Repository for AI Reliability
arXiv (Cornell University)·2025Open Access
Applied Statistics in the Era of Artificial Intelligence: A Review and\n Vision
arXiv (Cornell University)·2024· 1 citedOpen Access
Applying Design of Experiments in Testing and Validation of Statistical Software
2024· 1 cited
An empirical semiparametric one‐sided confidence bound for lower quantiles of distributions with positive support
Quality and Reliability Engineering International·2023· 1 cited
A general construction method for component orthogonal arrays
Quality and Reliability Engineering International·2023· 3 citedOpen Access
Discussion of ‘Is designed data collection still relevant in the Big Data era?'
Quality and Reliability Engineering International·2023Open Access
Reliability Analysis of Artificial Intelligence Systems Using Recurrent Events Data from Autonomous Vehicles
Journal of the Royal Statistical Society Series C (Applied Statistics)·2022· 23 cited
Introduction to High-Dimensional Statistics, Christophe Giraud. Chapman\& Hall/CRC Press, 2021, 364 pp., $72.00 hardcover, ISBN 978-0-367-71622-6.
Journal of Quality Technology·2022
Addendum to “Estimating pure-error from near replicates in design of experiments”
Journal of Quality Technology·2022
Letter to the editor
Journal of Quality Technology·2022· 1 cited
Advanced Survival Models
Journal of Quality Technology·2021· 5 cited
Estimating pure-error from near replicates in design of experiments
Journal of Quality Technology·2021· 7 cited
Reliability Analysis of Artificial Intelligence Systems Using Recurrent Events Data from Autonomous Vehicles
arXiv (Cornell University)·2021· 1 citedOpen Access
Bounding uncertainty in functional data: A case study
Quality Engineering·2021Open Access
Estimating pure-error from near replicates in design of experiments
Figshare·2021Open Access
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Frequent Co-authors

Yili Hong(17), William Q. Meeker(5), Yimeng Xie(4), Qingyu Yang(4), Jie Min(4), Thomas J. Bzik(4), Joseph Morgan(4), Ryan Lekivetz(4), Stephanie P. DeHart(3), Xinwei Deng(3), Simin Zheng(3), Jeanne M. Clark(3), Peter A. Parker(3), Patrick A. Defeo(2), Peter A. Parker(2), Zhibing Xu(2), Yili Hong(2), Fatemeh Salboukh(2), Priscila Silva(2), Karen da Mata(2)