Publications

Published

Grimm, T. R., Newhart, K. B., and Hering, A.S. (2026). A Robust Self-Starting Bayesian Approach for Multivariate Phase II Monitoring. Quality and Reliability Engineering International, 42 (5), 2510–2525. https://doi.org/10.1002/qre.70213

Grimm, T. R., Newhart, K. B., and Hering, A. S. (2025). Nonparametric threshold estimation of autocorrelated statistics in multivariate statistical process monitoring. Journal of Chemometrics, 39 (2), e70004. https://doi.org/10.1002/cem.70004

Grimm, T. R., Branch, A., Thompson, K. A., Salveson, A., Zhao, J., Johnson, D., Hering, A. S., and Newhart, K. B. (2024). Long-term statistical process monitoring of an ultrafiltration water treatment process. ACS ES&T Engineering, 4 (6), 1492-1506. https://doi.org/10.1021/acsestengg.4c00042

Heiner, M., Grimm, T., Smith, H., Leavitt, S. D., Christensen, W. F., Carling, G. T., and St. Clair, L. L. (2023). Multivariate receptor modeling with widely dispersed Lichens as bioindicators of air quality. Environmetrics, 34(3), e2785. https://doi.org/10.1002/env.2785

Under Review

Grimm, T. R., Villez, K., Newhart, K. B., and Hering, A.S. (2025+). A review of methods for handling limited or contaminated historical data in statistical process monitoring.