| Optimization of designed experiments based on multiple criteria utilizing a Pareto frontier L Lu, CM Anderson-Cook, TJ Robinson Technometrics 53 (4), 353-365, 2011 | 178 | 2011 |
| Statistical engineering—Forming the foundations CM Anderson-Cook, L Lu, G Clark, SP DeHart, R Hoerl, B Jones, ... Quality Engineering 24 (2), 110-132, 2012 | 48 | 2012 |
| Process optimization for multiple responses utilizing the Pareto front approach JL Chapman, L Lu, CM Anderson-Cook Quality Engineering 26 (3), 253-268, 2014 | 47 | 2014 |
| Adapting the hypervolume quality indicator to quantify trade‐offs and search efficiency for multiple criteria decision making using Pareto fronts L Lu, CM Anderson‐Cook Quality and Reliability Engineering International 29 (8), 1117-1133, 2013 | 43 | 2013 |
| Rethinking the optimal response surface design for a first-order model with two-factor interactions, when protecting against curvature L Lu, CM Anderson-Cook Quality Engineering 24 (3), 404-422, 2012 | 43 | 2012 |
| A case study to demonstrate a Pareto Frontier for selecting a best response surface design while simultaneously optimizing multiple criteria L Lu, CM Anderson‐Cook, TJ Robinson Applied Stochastic Models in Business and Industry 28 (3), 206-221, 2012 | 41 | 2012 |
| Incorporating response variability and estimation uncertainty into Pareto front optimization JL Chapman, L Lu, CM Anderson-Cook Computers & Industrial Engineering 76, 253-267, 2014 | 39 | 2014 |
| General path models for degradation data with multiple characteristics and covariates L Lu, B Wang, Y Hong, Z Ye Technometrics 63 (3), 354-369, 2021 | 32 | 2021 |
| Balancing multiple criteria incorporating cost using Pareto front optimization for split‐plot designed experiments L Lu, CM Anderson‐Cook Quality and Reliability Engineering International 30 (1), 37-55, 2014 | 31 | 2014 |
| Optimal designed experiments using a Pareto front search for focused preference of multiple objectives L Lu, CM Anderson-Cook, DKJ Lin Computational statistics & data analysis 71, 1178-1192, 2014 | 29 | 2014 |
| A data heterogeneity modeling and quantification approach for field pre-assessment of chloride-induced corrosion in aging infrastructures S Chen, L Lu, Y Xiang, Q Lu, M Li Reliability Engineering & System Safety 171, 123-135, 2018 | 27 | 2018 |
| Much-needed structure CM Anderson-Cook, L Lu Quality Progress 48 (10), 42-50, 2015 | 27 | 2015 |
| A case study on selecting a best allocation of new data for improving the estimation precision of system and subsystem reliability using Pareto fronts L Lu, JL Chapman, CM Anderson-Cook Technometrics 55 (4), 473-487, 2013 | 25 | 2013 |
| Effective interdisciplinary collaboration between statisticians and other subject matter experts CM Anderson-Cook, L Lu, PA Parker Quality Engineering 31 (1), 164-176, 2019 | 23 | 2019 |
| Statistical engineering—Roles for statisticians and the path forward CM Anderson-Cook, L Lu, G Clark, SP DeHart, R Hoerl, B Jones, ... Quality Engineering 24 (2), 133-152, 2012 | 23 | 2012 |
| Optimal binomial reliability demonstration tests design under acceptance decision uncertainty S Chen, L Lu, Q Zhang, M Li Quality Engineering 32 (3), 492-508, 2020 | 20 | 2020 |
| Multiple response optimization for higher dimensions in factors and responses L Lu, JL Chapman, CM Anderson‐Cook Quality and Reliability Engineering International 33 (4), 727-744, 2017 | 20 | 2017 |
| Multiple objective optimization in reliability demonstration tests L Lu, M Li, CM Anderson-Cook Journal of Quality Technology 48 (4), 326-342, 2016 | 20 | 2016 |
| Multi-state reliability demonstration tests S Chen, L Lu, M Li Quality Engineering 29 (3), 431-445, 2017 | 18 | 2017 |
| Special issue on statistical engineering CM Anderson-Cook, L Lu Quality Engineering 24 (2), 107-345, 2012 | 17 | 2012 |
