Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Yongdao Zhou"'
Autor:
Yang Huang, Yongdao Zhou
Publikováno v:
Mathematics, Vol 10, Iss 19, p 3717 (2022)
Quasi-Monte Carlo (QMC) methods have been successfully used for the estimation of numerical integrations arising in many applications. In most QMC methods, low-discrepancy sequences have been used, such as digital nets and lattice rules. In this pape
Externí odkaz:
https://doaj.org/article/f3b79576a4bd4afda679a2573ce40127
Publikováno v:
Journal of Statistical Planning and Inference. 226:30-38
Autor:
Zheng Zhou, Yongdao Zhou
Publikováno v:
Biometrika. 110:537-549
Summary Row-column designs have been widely used in experiments involving double confounding. Among them, one that provides unconfounded estimation of all main effects and as many two-factor interactions as possible is preferred, and is called optima
Publikováno v:
Journal of the Royal Statistical Society Series B: Statistical Methodology.
In many practical experiments, both the level combinations of factors and the addition orders will affect the responses. However, virtually no construction methods have been provided for such experimental designs. This paper focuses on such experimen
Publikováno v:
Statistica Sinica.
Autor:
JIANGHU (JAMES) DONG1,2 jianghu.dong@unmc.edu, YONGDAO ZHOU3, YING ZHANG1, FLAHERTY, THOMAS2, FRANZ, DOUGLAS2
Publikováno v:
Journal of Data Science. Jul2020, Vol. 18 Issue 3, p496-510. 15p.
Publikováno v:
Statistica Sinica; 2023, Vol. 33 Issue 3, p1923-1942, 28p
Publikováno v:
Statistics & Probability Letters. 186:109470
Autor:
YONGDAO ZHOU, HONGQUAN XU
Publikováno v:
Biometrika; Dec2015, Vol. 102 Issue 4, p959-966, 8p
Publikováno v:
2010 4th International Conference on Bioinformatics & Biomedical Engineering (iCBBE); 2010, p1-4, 4p