Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Shuyuan He"'
Autor:
Xiuni Li, Menggen Chen, Shuyuan He, Xiangyao Xu, Lingxiao He, Li Wang, Yang Gao, Fenda Tang, Tao Gong, Wenyan Wang, Mei Xu, Chunyan Liu, Liang Yu, Weiguo Liu, Wenyu Yang
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
IntroductionSoybeans are an important crop used for food, oil, and feed. However, China’s soybean self-sufficiency is highly inadequate, with an annual import volume exceeding 80%. RGB cameras serve as powerful tools for estimating crop yield, and
Externí odkaz:
https://doaj.org/article/e8bfac17198a42c1afd6534477a655b9
Autor:
Shuyuan He, Xiuni Li, Menggen Chen, Xiangyao Xu, Fenda Tang, Tao Gong, Mei Xu, Wenyu Yang, Weiguo Liu
Publikováno v:
Agriculture, Vol 14, Iss 5, p 723 (2024)
In order to rapidly breed high-quality varieties, an increasing number of plant researchers have identified the functions of a large number of genes, but there is a serious lack of research on plants’ phenotypic traits. This severely hampers the br
Externí odkaz:
https://doaj.org/article/e9ee50b27a814a9f98a1c360b885b57d
Autor:
Xiuni Li, Xiangyao Xu, Shuai Xiang, Menggen Chen, Shuyuan He, Wenyan Wang, Mei Xu, Chunyan Liu, Liang Yu, Weiguo Liu, Wenyu Yang
Publikováno v:
Plant Methods, Vol 19, Iss 1, Pp 1-16 (2023)
Abstract Background RGB photographs are a powerful tool for dynamically estimating crop growth. Leaves are related to crop photosynthesis, transpiration, and nutrient uptake. Traditional blade parameter measurements were labor-intensive and time-cons
Externí odkaz:
https://doaj.org/article/201b5580fa894949ba99fc3ad4b4a243
Publikováno v:
Journal of Applied Mathematics, Vol 2014 (2014)
This paper proposes a profile empirical likelihood for the partial parameters in ARMA(p,q) models with infinite variance. We introduce a smoothed empirical log-likelihood ratio statistic. Also, the paper proves a nonparametric version of Wilks’s th
Externí odkaz:
https://doaj.org/article/d142ec8177fe4f40bf2455af4cb104eb
Autor:
Zhenyou Zou, Xiaodie Gao, Yining Yao, Xinying Gan, Juxia Liu, Weixing Lei, Wenyang Li, Tingting Chen, Xin Li, Yongfeng Chen, Fengyao Wu, Liguan Chen, Xiansheng Huang, Hongji Zeng, Keli Yun, Xuefeng Guo, Yuhua Wei, Qiang Chen, Man Kang, Shuyuan He, Anni Lin, Jinping Mo, Haiting Li, Xiaoqian Yue, Zengxian Wang, Shi Bai, Lijuan Wu, Bin Xia, Liling Tang, Guangliang Wang, Ruyi Zou, Chengqiang Wang, Huihua Liu
With aging, iron will accumulate in the brain, catalyzing oxidative radicals that damage brain neurons and induceAlzheimer's disease. In this experiment, we observed that in the brains of senile mice, the iron-exporting protein ferriportin was decrea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a827e063195b23ee9342f0451396c96
https://doi.org/10.21203/rs.3.rs-2216456/v1
https://doi.org/10.21203/rs.3.rs-2216456/v1
Publikováno v:
Statistica Sinica; 2023, Vol. 33 Issue 1, p401-430, 48p
Publikováno v:
Computational Statistics & Data Analysis. 138:155-169
Empirical likelihood methods are widely used in different settings to construct the confidence regions for parameters which satisfy the moment constraints. However, the empirical likelihood ratio confidence regions may have poor accuracy, especially
Publikováno v:
Acta Mathematicae Applicatae Sinica, English Series. 32:269-282
In lifetime data analysis, naturally recorded observations are length-biased data if the probability to select an item is proportional to its length. Based on i.i.d. observations of the true distribution, empirical likelihood (EL) procedure is propos
Publikováno v:
Journal of the American Statistical Association. 111:646-655
This paper considers the empirical likelihood (EL) construction of confidence intervals for a linear functional based on right censored lifetime data. Many of the results in literature show that log EL has a limiting scaled chi-square distribution, w
Publikováno v:
Acta Mathematicae Applicatae Sinica, English Series. 31:395-404
The maximum entropy method has been widely used in many fields, such as statistical mechanics, economics, etc. Its crucial idea is that when we make inference based on partial information, we must use the distribution with maximum entropy subject to