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Lu Lu 0007
Person information
- affiliation: University of South Florida, Department of Mathematics and Statistics, Tampa, FL, USA
- affiliation (former): Los Alamos National Laboratory, Statistical Science Group, NM, USA
Other persons with the same name
- Lu Lu — disambiguation page
- Lu Lu 0001
— Chinese Academy of Sciences, Technology and Engineering Center for Space Utilization, Beijing, China (and 2 more)
- Lu Lu 0002
- Lu Lu 0003
- Lu Lu 0004
- Lu Lu 0005
- Lu Lu 0006 — Huazhong University of Science and Technology, Services Computing Technology and System Lab / Big Data Technology and System Lab, China
- Lu Lu 0008
- Lu Lu 0009 — LSI Corporation, Milpitas, CA, USA (and 1 more)
- Lu Lu 0010
- Lu Lu 0011
- Lu Lu 0012
- Lu Lu 0013
- Lu Lu 0014
- Lu Lu 0015
- Lu Lu 0016
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2020 – today
- 2024
- [j24]Christine M. Anderson-Cook
Publishing an applied statistics paper: Guidance and advice from editors. Qual. Reliab. Eng. Int. 40(4): 1918-1934 (2024) - [j23]Xiankui Yang
Input-response space-filling designs incorporating response uncertainty. Stat. Anal. Data Min. 17(1) (2024) - 2023
- [j22]Christine M. Anderson-Cook
Is designed data collection still relevant in the big data era? Qual. Reliab. Eng. Int. 39(4): 1085-1101 (2023) - [j21]Christine M. Anderson-Cook
Rejoinder for "Is Designed Data Collection Still Relevant in the Big Data Era?". Qual. Reliab. Eng. Int. 39(4): 1117-1119 (2023) - [i1]Simin Zheng, Lu Lu, Yili Hong, Jian Liu:
Planning Reliability Assurance Tests for Autonomous Vehicles. CoRR abs/2312.00186 (2023) - 2022
- [j20]Lu Lu
Practical choices for space-filling designs. Qual. Reliab. Eng. Int. 38(3): 1165-1188 (2022) - 2021
- [j19]Lu Lu
Strategies for sequential design of experiments and augmentation. Qual. Reliab. Eng. Int. 37(5): 1740-1757 (2021) - [j18]Lu Lu
Input-response space-filling designs. Qual. Reliab. Eng. Int. 37(8): 3529-3551 (2021) - [j17]Lu Lu
Understanding the merits of winning data competition solutions for varied sets of objectives. Stat. Anal. Data Min. 14(6): 556-574 (2021) - [j16]Lu Lu
General Path Models for Degradation Data With Multiple Characteristics and Covariates. Technometrics 63(3): 354-369 (2021) - 2020
- [j15]Lu Lu
Statistical Intervals: A Guide for Practitioners and Researchers (2nd ed.). Technometrics 62(2): 1-285 (2020)
2010 – 2019
- 2019
- [j14]Sarah E. Burke, Lu Lu
Selecting a near-optimal design for multiple criteria with improved robustness to different user priorities. Qual. Reliab. Eng. Int. 35(3): 788-814 (2019) - [j13]Christine M. Anderson-Cook
How to Host An Effective Data Competition: Statistical Advice for Competition Design and Analysis. Stat. Anal. Data Min. 12(4): 271-289 (2019) - 2018
- [j12]Jessica L. Chapman
Using Multiple Criteria Optimization and Two-Stage Genetic Algorithms to Select a Population Management Strategy with Optimized Reliability. Complex. 2018: 7242105:1-7242105:18 (2018) - [j11]Suiyao Chen, Lu Lu
A data heterogeneity modeling and quantification approach for field pre-assessment of chloride-induced corrosion in aging infrastructures. Reliab. Eng. Syst. Saf. 171: 123-135 (2018) - 2017
- [j10]Lu Lu
Multiple Response Optimization for Higher Dimensions in Factors and Responses. Qual. Reliab. Eng. Int. 33(4): 727-744 (2017) - [j9]Yongtao Cao, Lu Lu
Uncertainty analysis of trade-offs between multiple responses using hypervolume. Qual. Reliab. Eng. Int. 33(8): 2343-2360 (2017) - 2015
- [j8]Jessica L. Chapman, Lu Lu
Impact of response variability on Pareto front optimization. Stat. Anal. Data Min. 8(5-6): 314-328 (2015) - 2014
- [j7]Jessica L. Chapman, Lu Lu
Incorporating response variability and estimation uncertainty into Pareto front optimization. Comput. Ind. Eng. 76: 253-267 (2014) - [j6]Lu Lu
Optimal designed experiments using a Pareto front search for focused preference of multiple objectives. Comput. Stat. Data Anal. 71: 1178-1192 (2014) - [j5]Lu Lu
Balancing Multiple Criteria Incorporating Cost using Pareto Front Optimization for Split-Plot Designed Experiments. Qual. Reliab. Eng. Int. 30(1): 37-55 (2014) - 2013
- [j4]Lu Lu
Adapting the Hypervolume Quality Indicator to Quantify Trade-offs and Search Efficiency for Multiple Criteria Decision Making Using Pareto Fronts. Qual. Reliab. Eng. Int. 29(8): 1117-1133 (2013) - [j3]Lu Lu
A Case Study on Selecting a Best Allocation of New Data for Improving the Estimation Precision of System and Subsystem Reliability Using Pareto Fronts. Technometrics 55(4): 473-487 (2013) - 2011
- [j2]Lu Lu
Using age and usage for prediction of reliability of an arbitrary system from a finite population. Qual. Reliab. Eng. Int. 27(2): 179-190 (2011) - [j1]Lu Lu
Optimization of Designed Experiments Based on Multiple Criteria Utilizing a Pareto Frontier. Technometrics 53(4): 353-365 (2011)
Coauthor Index
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