Articles with public access mandates - Min-Qian LiuLearn more
Available somewhere: 66
Column-orthogonal strong orthogonal arrays and sliced strong orthogonal arrays
H Liu, MQ Liu
Statistica Sinica, 1713-1734, 2015
Mandates: National Natural Science Foundation of China
Sliced Latin hypercube designs via orthogonal arrays
Y Yin, DKJ Lin, MQ Liu
Journal of Statistical Planning and Inference 149, 162-171, 2014
Mandates: National Natural Science Foundation of China
Computer experiments with both qualitative and quantitative variables
H Huang, DKJ Lin, MQ Liu, JF Yang
Technometrics 58 (4), 495-507, 2016
Mandates: National Natural Science Foundation of China
Designs for order-of-addition experiments
Y Zhao, DKJ Lin, MQ Liu
Journal of Applied Statistics 48 (8), 1475-1495, 2021
Mandates: US National Science Foundation, National Natural Science Foundation of China
Construction of orthogonal symmetric Latin hypercube designs
L Wang, F Sun, DKJ Lin, MQ Liu
Statistica Sinica 28 (3), 1503-1520, 2018
Mandates: US Department of Defense, National Natural Science Foundation of China
Construction of sliced (nearly) orthogonal Latin hypercube designs
H Huang, JF Yang, MQ Liu
Journal of Complexity 30 (3), 355-365, 2014
Mandates: National Natural Science Foundation of China
On the construction of nested space-filling designs
F Sun, MQ Liu, PZG Qian
Mandates: National Natural Science Foundation of China
A method of constructing maximin distance designs
W Li, MQ Liu, B Tang
Biometrika 108 (4), 845-855, 2021
Mandates: Natural Sciences and Engineering Research Council of Canada, National …
Construction of uniform designs for mixture experiments with complex constraints
Y Liu, MQ Liu
Communications in Statistics-theory and Methods 45 (8), 2172-2180, 2016
Mandates: National Natural Science Foundation of China
Construction of mixed orthogonal arrays with high strength
S Pang, J Wang, DKJ Lin, MQ Liu
The Annals of Statistics 49 (5), 2870-2884, 2021
Mandates: US National Science Foundation, National Natural Science Foundation of China
Optimal designs for order-of-addition experiments
Y Zhao, DKJ Lin, MQ Liu
Computational Statistics & Data Analysis 165, 107320, 2022
Mandates: US National Science Foundation, National Natural Science Foundation of China
Orthogonal uniform composite designs
XR Zhang, MQ Liu, YD Zhou
Journal of Statistical Planning and Inference 206, 100-110, 2020
Mandates: National Natural Science Foundation of China
Nearly orthogonal Latin hypercube designs for many design columns
L Wang, JF Yang, DKJ Lin, MQ Liu
Statistica Sinica, 1599-1612, 2015
Mandates: National Natural Science Foundation of China
Resolvable orthogonal array-based uniform sliced Latin hypercube designs
X Yang, H Chen, MQ Liu
Statistics & Probability Letters 93, 108-115, 2014
Mandates: National Natural Science Foundation of China
Robustness of orthogonal-array based composite designs to missing data
XP Chen, B Guo, MQ Liu, XL Wang
Journal of Statistical Planning and Inference 194, 15-24, 2018
Mandates: National Natural Science Foundation of China
Construction of sliced maximin-orthogonal Latin hypercube designs
J Yang, H Chen, DKJ Lin, MQ Liu
Statistica Sinica, 589-603, 2016
Mandates: National Natural Science Foundation of China
A theory on constructing blocked two-level designs with general minimum lower order confounding
Y Zhao, S Zhao, MQ Liu
Frontiers of Mathematics in China 11, 207-235, 2016
Mandates: National Natural Science Foundation of China
U-type and column-orthogonal designs for computer experiments
SD Georgiou, C Koukouvinos, MQ Liu
Metrika 77 (8), 1057-1073, 2014
Mandates: National Natural Science Foundation of China
Uniform sliced Latin hypercube designs
H Chen, H Huang, DKJ Lin, MQ Liu
Applied Stochastic Models in Business and Industry 32 (5), 574-584, 2016
Mandates: National Natural Science Foundation of China
Construction of second-order orthogonal sliced Latin hypercube designs
RY Cao, MQ Liu
Journal of Complexity 31 (5), 762-772, 2015
Mandates: National Natural Science Foundation of China
Publication and funding information is determined automatically by a computer program