Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Yongdao Zhou"'
Publikováno v:
Journal of Statistical Planning and Inference. 226:30-38
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9bd39605e4d8f0f5bb645aa68c25174c
https://doi.org/10.1016/j.jspi.2023.02.001
https://doi.org/10.1016/j.jspi.2023.02.001
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:
Statistica Sinica; 2023, Vol. 33 Issue 3, p1923-1942, 28p
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1182dd68f22f520fd8ca888adf09deb8
https://doi.org/10.1093/biomet/asac046
https://doi.org/10.1093/biomet/asac046
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7f15b4f6227c54414334feb7fb8944e
https://doi.org/10.1093/jrsssb/qkad027
https://doi.org/10.1093/jrsssb/qkad027
Publikováno v:
Statistica Sinica.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4463aad77f0401085c399bbe8bf1782a
https://doi.org/10.5705/ss.202021.0160
https://doi.org/10.5705/ss.202021.0160
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:
Statistics & Probability Letters. 186:109470
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8c123243c60066f395b17ebf4a0f333
https://doi.org/10.1016/j.spl.2022.109470
https://doi.org/10.1016/j.spl.2022.109470
Autor:
Yang, Feng1 (AUTHOR) yangfeng@sicnu.edu.cn, Zhou, Zheng2 (AUTHOR) zhengzhou@bjut.edu.cn
Publikováno v:
Entropy. Oct2024, Vol. 26 Issue 10, p856. 15p.