Maria Weese
Maria Weese
Associate Professor of Analytics, Miami University
Verified email at miamioh.edu - Homepage
Title
Cited by
Cited by
Year
Statistical learning methods applied to process monitoring: An overview and perspective
M Weese, W Martinez, FM Megahed, LA Jones-Farmer
Journal of Quality Technology 48 (1), 4-24, 2016
292016
Response surface experiments: A meta-analysis
RA Ockuly, ML Weese, BJ Smucker, DJ Edwards, L Chang
Chemometrics and Intelligent Laboratory Systems 164, 64-75, 2017
182017
Searching for powerful supersaturated designs
ML Weese, BJ Smucker, DJ Edwards
Journal of Quality Technology 47 (1), 66-84, 2015
122015
Analysis of definitive screening designs: Screening vs prediction
ML Weese, PJ Ramsey, DC Montgomery
Applied Stochastic Models in Business and Industry 34 (2), 244-255, 2018
52018
A criterion for constructing powerful supersaturated designs when effect directions are known
ML Weese, DJ Edwards, BJ Smucker
Journal of Quality Technology 49 (3), 265-277, 2017
32017
Comparing methods for design follow‐up: revisiting a metal‐cutting case study
DJ Edwards, ML Weese, GA Palmer
Applied Stochastic Models in Business and Industry 30 (4), 464-478, 2014
32014
A new screening methodology for mixture experiments
M Weese
32010
On the Selection of the Bandwidth Parameter for the k‐Chart
ML Weese, WG Martinez, LA Jones‐Farmer
Quality and Reliability Engineering International 33 (7), 1527-1547, 2017
22017
Predictive Response Surface Models: To Reduce or Not to Reduce?
B Smucker, DJ Edwards, ML Weese
12018
Compositional Models and Organizational Research: Application of a Mixture Model to Nonexperimental Data in the Context of CEO Pay
JT Campbell, ML Weese
Organizational Research Methods 20 (1), 95-120, 2017
12017
A one‐class peeling method for multivariate outlier detection with applications in phase I SPC
WG Martinez, ML Weese, LA Jones-Farmer
Quality and Reliability Engineering International 36 (4), 1272-1295, 2020
2020
Response surface models: To reduce or not to reduce?
BJ Smucker, DJ Edwards, ML Weese
Journal of Quality Technology, 1-20, 2020
2020
"On the selection of the Bandwidth Parameter for the k-chart"
LA Weese, M.L., Martinez, W.G., Jones-Farmer
Quality and Reliability Engineering International, 2016
2016
Sequential experimentation for mixtures
ML Weese, MG Leitnaker
International Journal of Experimental Design and Process Optimisation 3 (1 …, 2012
2012
Strategies for Supersaturated Screening: Group Orthogonal and Constrained V ar (s) Designs
ML Weese, JW Stallrich, BJ Smucker, DJ Edwards
Stop Treating Supersaturated Designs like Other Screening Designs
ML Weese, JW Stallrich, BJ Smucker, DJ Edwards
One-Class Peeling for Outlier Detection in High Dimensions
WG Martinez, ML Weese, LA Jones-Farmer
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Articles 1–17