Articles with public access mandates - Boxin TangLearn more
Not available anywhere: 10
A method of constructing space-filling orthogonal designs
F Sun, B Tang
Journal of the American Statistical Association 112 (518), 683-689, 2017
Mandates: Natural Sciences and Engineering Research Council of Canada, National …
Model-robust subdata selection for big data
C Shi, B Tang
Journal of Statistical Theory and Practice 15, 1-17, 2021
Mandates: Natural Sciences and Engineering Research Council of Canada
Uniform projection designs and strong orthogonal arrays
CY Sun, B Tang
Journal of the American Statistical Association 118 (541), 417-423, 2023
Mandates: Natural Sciences and Engineering Research Council of Canada
Design selection for strong orthogonal arrays
C Shi, B Tang
Canadian Journal of Statistics 47 (2), 302-314, 2019
Mandates: Natural Sciences and Engineering Research Council of Canada
A study of orthogonal array-based designs under a broad class of space-filling criteria
G Chen, B Tang
The Annals of Statistics 50 (5), 2925-2949, 2022
Mandates: Natural Sciences and Engineering Research Council of Canada
Supersaturated designs robust to two-factor interactions
C Shi, B Tang
Journal of Statistical Planning and Inference 200, 119-128, 2019
Mandates: Natural Sciences and Engineering Research Council of Canada
On the existence and constructions of orthogonal designs
RC Karunanayaka, B Tang
Australian & New Zealand Journal of Statistics 60 (4), 471-480, 2018
Mandates: Natural Sciences and Engineering Research Council of Canada
Compromise designs under baseline parameterization
RC Karunanayaka, B Tang
Journal of Statistical Planning and Inference 190, 32-38, 2017
Mandates: Natural Sciences and Engineering Research Council of Canada
ON CONSTRUCTION OF NONREGULAR TWO-LEVEL FACTORIAL DESIGNS WITH MAXIMUM GENERALIZED RESOLUTIONS.
C Shi, B Tang
Statistica Sinica 33 (2), 2023
Mandates: Natural Sciences and Engineering Research Council of Canada
Using nonregular designs to generate space-filling designs
G Chen, B Tang
Journal of Statistical Planning and Inference 221, 201-211, 2022
Mandates: Natural Sciences and Engineering Research Council of Canada
Available somewhere: 16
Strong orthogonal arrays of strength two plus
Y He, CS Cheng, B Tang
The Annals of Statistics 46 (2), 457-468, 2018
Mandates: Natural Sciences and Engineering Research Council of Canada
A general rotation method for orthogonal Latin hypercubes
F Sun, B Tang
Biometrika 104 (2), 465-472, 2017
Mandates: Natural Sciences and Engineering Research Council of Canada, National …
Column-orthogonal strong orthogonal arrays of strength two plus and three minus
Y Zhou, B Tang
Biometrika 106 (4), 997-1004, 2019
Mandates: Natural Sciences and Engineering Research Council of Canada, National …
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 …
Nearly orthogonal arrays mappable into fully orthogonal arrays
R Mukerjee, F Sun, B Tang
Biometrika 101 (4), 957-963, 2014
Mandates: National Natural Science Foundation of China, Department of Science …
Construction results for strong orthogonal arrays of strength three
C Shi, B Tang
Mandates: Natural Sciences and Engineering Research Council of Canada
Designs from good Hadamard matrices
C Shi, B Tang
Mandates: Natural Sciences and Engineering Research Council of Canada
Using regular fractions of two-level designs to find baseline designs
A Miller, B Tang
Statistica Sinica, 745-759, 2016
Mandates: Natural Sciences and Engineering Research Council of Canada
RELATIONSHIP BETWEEN ORTHOGONAL AND BASELINE PARAMETERIZATIONS AND ITS APPLICATION TO DESIGN CONSTRUCTIONS
CY Sun, B Tang
Statistica Sinica 32 (1), 239-250, 2022
Mandates: Natural Sciences and Engineering Research Council of Canada
Optimal two-level regular designs under baseline parametrization via cosets and minimum moment aberration
R Mukerjee, B Tang
Statistica Sinica, 1001-1019, 2016
Mandates: Natural Sciences and Engineering Research Council of Canada, Department of …
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