| 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 | 128 | 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 | 34 | 2012 |
| 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 | 33 | 2012 |
| 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 | 32 | 2013 |
| Process optimization for multiple responses utilizing the Pareto front approach JL Chapman, L Lu, CM Anderson-Cook Quality Engineering 26 (3), 253-268, 2014 | 30 | 2014 |
| 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 | 29 | 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 | 28 | 2014 |
| 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 | 22 | 2014 |
| 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 | 21 | 2013 |
| Much-needed structure: A new 5-step decision-making process helps you evaluate, balance competing objectives CM Anderson-Cook, L Lu Quality Progress 48 (10), 42-50, 2015 | 20 | 2015 |
| 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 | 20 | 2014 |
| 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 | 18 | 2012 |
| Special issue on statistical engineering CM Anderson-Cook, L Lu Quality Engineering 24 (2), 107-345, 2012 | 15 | 2012 |
| Improving reliability understanding through estimation and prediction with usage information L Lu, CM Anderson-Cook Quality Engineering 27 (3), 304-316, 2015 | 14 | 2015 |
| Using age and usage for prediction of reliability of an arbitrary system from a finite population L Lu, CM Anderson‐Cook Quality and Reliability Engineering International 27 (2), 179-190, 2011 | 14 | 2011 |
| Prediction of reliability of an arbitrary system from a finite population L Lu, CM Anderson-Cook Quality Engineering 23 (1), 71-83, 2010 | 12 | 2010 |
| 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 | 10 | 2017 |
| Best Bang for the Buck: Part 1–The Size of Experiments Relative to Design Performance CM Anderson-Cook, L Lu Quality Progress 49 (LA-UR-16-26820), 2016 | 10 | 2016 |
| Impact of response variability on Pareto front optimization JL Chapman, L Lu, CM Anderson‐Cook Statistical Analysis and Data Mining: The ASA Data Science Journal 8 (5-6 …, 2015 | 9 | 2015 |
| Improved learning from data competitions through strategic design of training and test data sets CM Anderson-Cook, L Lu, KL Myers, KR Quinlan, N Pawley Quality Engineering 31 (4), 564-580, 2019 | 8 | 2019 |
