Zobrazeno 1 - 10
of 111
pro vyhledávání: '"Jin-Ting Zhang"'
Publikováno v:
BMC Pregnancy and Childbirth, Vol 24, Iss 1, Pp 1-8 (2024)
Abstract Objective Pregnancy care can improve maternal pregnancy outcomes. Cluster nursing, an evidence-based, patient-centered model, enhances pregnancy care, can provide patients with high-quality nursing services, has been widely used in clinical
Externí odkaz:
https://doaj.org/article/e5ad928fccc94a77ba0779320016e7e9
Publikováno v:
Mathematics, Vol 11, Iss 20, p 4374 (2023)
With the development of modern data collection techniques, researchers often encounter high-dimensional data across various research fields. An important problem is to determine whether several groups of these high-dimensional data originate from the
Externí odkaz:
https://doaj.org/article/e47434f4c6d04a2d8faa6f8e0d0face9
Autor:
Rui-Hua Wang, Jing-Ya Gong, Peng-Cheng Liu, Li-Fen Liu, Jin-Ting Zhang, Lan Yao, Qin Dong, Su-Hong Jia
Publikováno v:
Breastfeeding Medicine; Jun2024, Vol. 19 Issue 6, p445-450, 6p
This book, which is split into two parts, is about Prof. Zhidong Bai's life and his contributions to statistics and probability. The first part contains an interview with Zhidong Bai conducted by Dr Atanu Biswas from the Indian Statistical Institute,
Autor:
Tianming Zhu, Jin-Ting Zhang
Publikováno v:
Statistics and Its Interface. 15:247-260
Publikováno v:
Statistica Sinica.
Autor:
Tianming Zhu, Jin-Ting Zhang
Publikováno v:
Journal of Nonparametric Statistics. 34:58-76
Publikováno v:
Statistical Papers. 63:1105-1137
A centered $$L^2$$ -norm based test statistic is used for testing if a high-dimensional mean vector equals zero where the data dimension may be much larger than the sample size. Inspired by the fact that under some regularity conditions the asymptoti
Autor:
Tianming Zhu, Jin-Ting Zhang
Publikováno v:
Computational Statistics. 37:1-27
For the general linear hypothesis testing problem for high-dimensional data, several interesting tests have been proposed in the literature. Most of them have imposed strong assumptions on the underlying covariance matrix so that their test statistic
Autor:
Smaga, Łukasz1 ls@amu.edu.pl, Jin-Ting Zhang2
Publikováno v:
Scandinavian Journal of Statistics. Jun2020, Vol. 47 Issue 2, p493-515. 23p.