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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
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Published in Applied Stochastic Models in Business and Industry, 2014
Edwards, D. J., Weese, M. L., Palmer, G. M., (2014). "Comparing Methods for Design Follow-Up: Revisiting a Metal Cutting Case Study." Applied Stochastic Models in Business and Industry. 30(4):464-478.
Published in Journal of Quality Technology, 2015
Weese, M. L., Smucker, B. J., Edwards, D. J.(2015). "Searching for Powerful Supersaturated Designs." Journal of Quality Technology. 47(1):66-84.
Published in Quality and Reliability Engineering International, 2016
Weese, M.L., Martinez, W.G., and Jones-Farmer, L.A.(2016). "On the Selection of the Bandwidth Parameter for the k-Chart." Quality and Reliability Engineering International. 33(7):1527-1547.
Published in Journal of Quality Technology, 2016
Weese, M.L., Martinez, W.J., Megahed, F.M., Jones-Farmer, L.A. (2016). "Statistical Learning Methods Applied to Process Monitoring: An Overview and Perspective." Journal of Quality Technology. 48(1):4-27.
Published in Organizational Reserach Methods, 2017
Campbell, J.T., Weese, M.L. (2017). "Compositional Models and Organizational Research: Application of a Mixture Model to Nonexperimental Data in the Context of CEO Pay." Organizational Research Methods. 20(1):95-120.
Published in Chemometrics and Intelligent Laboratory Systems, 2017
Ockuly, R., A., Weese, M.L., Smucker, B.J., Edwards, D.J., Chang, L. (2017). "Response Surface Experiments: A meta Analysis." Chemometrics and Intelligent Laboratory Systems. 164:64-75.
Published in Journal of Quality Technology, 2017
Weese, M.L., Edwards, D.J., Smucker, B.J.(2017). "A Criteria for Constructing Powerful Supersaturated Designs when Effect Directions are Known." Journal of Quality Technology. 49(3):265-277.
Published in Applied Stochastic Models in Business and Industry, 2017
Weese, M.L., Montgomery, D.J., Ramsey,P.J. (2017). "Analyzing Definitive Screening Designs: Screening vs. Prediction." Applied Stochastic Models in Business and Industry. 34(2):244-255.
Published in Quality and Reliability Engineering International, 2020
Martinez, W.G., Weese, M.L., Jones-Farmer, L.A. (2020). "A one-class peeling method for multivariate outlier detection with applications in Phase I SPC." Quality and Reliabity Engineering International. 36:1272-1295.
Published in Technometrics, 2020
Weese, M.L., Stallrich, J.W., Smucker, B.J., Edwards, D.J, "Strategies for Supersatruated Screening: Group Orthogonal and Var(s+) Designs." Technometrics.
Published in Journal of Quality Technology, 2021
Smucker, B.J., Edwards, D.J, Weese, M.L. "Response surface models: to reduce or not to reduce?." Journal of Quality Technology 53(2), 197-216.
Published in Chemometrics and Intelligent Laboratory Systems, 2021
Lemkus, T., Gotwalt, C., Ramsey, P.R., Weese, M.L., "Self-Validated Ensemble Models for Design of Experiments." Chemometrics and Intelligent Laboratory Systems. 219, 104439
Published in Quality and Reliability Engineering International, 2022
Lee, L., Weese, M.L., Martinez, W.G., and Jones-Farmer, L.A. "Robustness of the One-Class Peeling method to the Gaussian Kernel Bandwidth." : Quality and Reliability Engineering International 38(3) 1289-1301.
Published in Journal of Quality Technology, 2024
Young. H.K., Weese, M.L., Stallrich, J.W., Smucker, B.J., Edwards, D.J.. (2024) " A Graphical Comparison of Screening Designs using Support Recovery Probabilities." Accepted: Journal of Quality Technology.
Published in Journal of Chemical Information and Modeling, 2024
Cheng, Z, Aitha, M., Thomas, C., Sturgill, A., Fairweather, M., Hu, A., Bethel, C. Rivera, D., Dranchak, P., Thomas, P., Li, H., Feng, Q., Tao, K., Song, M., Sun, N., Wang, S., Silwal, S.B., Page, R., Fast, W., Bonomo, R., Weese, M.L., Martinez, Waldyn G., Inglese, J., Crowder, M. (2024) " Machine Learning Models Identify Inhibitors of New Delhi Metallo-β-lactamase (NDM)" Accepted: Journal of Chemical Information and Modeling
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.