Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Yingcai Su"'
Publikováno v:
Toxics, Vol 11, Iss 12, p 1006 (2023)
Research on soil heavy metal(loid) pollution and health risk assessment is extensive, but a notable gap exists in systematically examining uncertainty in this process. We employ the Nemerow index, the health risk assessment model, and the geographic
Externí odkaz:
https://doaj.org/article/17e516cbf9514d14ace3e7d4e51de836
Autor:
Yingcai Su
Publikováno v:
Journal of Statistical Planning and Inference. 217:92-105
A mean zero spatial process X ( t ) on the n -dimensional Euclidean space R n is isotropic if its covariance function (c.f.) is of the form: R n ( τ ) = Cov [ X ( t ) , X ( s ) ] , where τ = | t − s | , t , s ∈ R n , and R n is an admissible fu
Publikováno v:
The Journal of Asian Finance, Economics and Business. 5:11-16
Autor:
Peterson, Dane K.1 danepeterson@missouristate.edu, Yingcai Su1
Publikováno v:
Business & Society. Nov2017, Vol. 56 Issue 8, p1169-1194. 26p.
Autor:
Yingcai Su, Karim Benhenni
Publikováno v:
Journal of Multivariate Analysis
Journal of Multivariate Analysis, Elsevier, 2016, 146, pp.341-351. ⟨10.1016/j.jmva.2015.11.010⟩
Journal of Multivariate Analysis, 2016, 146, pp.341-351. ⟨10.1016/j.jmva.2015.11.010⟩
Journal of Multivariate Analysis, Elsevier, 2016, 146, pp.341-351. ⟨10.1016/j.jmva.2015.11.010⟩
Journal of Multivariate Analysis, 2016, 146, pp.341-351. ⟨10.1016/j.jmva.2015.11.010⟩
International audience; Optimal designs of sampling spatial locations in estimating spatial averages of random fields are considered. The random field is assumed to have correlated values according to a covariance function. The quality of estimation
Publikováno v:
International Workshop on Perspectives On High-dimensional Data Analysis
International Workshop on Perspectives On High-dimensional Data Analysis, Apr 2018, Marrakesh, Morocco
Journal of Multivariate Analysis
Journal of Multivariate Analysis, Elsevier, 2019, 170, pp.80-94. ⟨10.1016/j.jmva.2018.10.008⟩
Journal of Multivariate Analysis, 2019, 170, pp.80-94. ⟨10.1016/j.jmva.2018.10.008⟩
International Workshop on Perspectives On High-dimensional Data Analysis, Apr 2018, Marrakesh, Morocco
Journal of Multivariate Analysis
Journal of Multivariate Analysis, Elsevier, 2019, 170, pp.80-94. ⟨10.1016/j.jmva.2018.10.008⟩
Journal of Multivariate Analysis, 2019, 170, pp.80-94. ⟨10.1016/j.jmva.2018.10.008⟩
This article considers the problem of nonparametric estimation of the regression operator r in a functional regression model Y = r ( x ) + e with a scalar response Y , a functional explanatory variable x , and a second order stationary error process
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::269696beb7cd140c8dbc8808b7653978
https://hal.archives-ouvertes.fr/hal-02091339
https://hal.archives-ouvertes.fr/hal-02091339
Autor:
Zsófia Tóth, László G. Kovács, Yingcai Su, Patrick Winterhagen, Erzsébet Kiss, Balázs Kalapos
Publikováno v:
Scientific Reports
Tissue colonization by grape powdery mildew (PM) pathogen Erysiphe necator (Schw.) Burr triggers a major remodeling of the transcriptome in the susceptible grapevine Vitis vinifera L. While changes in the expression of many genes bear the signature o
The effect of the regularity of the error process on the performance of kernel regression estimators
Publikováno v:
Metrika
Metrika, Springer Verlag, 2013, 76 (6), pp.765-781. ⟨10.1007/s00184-012-0414-8⟩
Metrika, Springer Verlag, 2013, 76 (6), pp.765-781. ⟨10.1007/s00184-012-0414-8⟩
This article considers estimation of regression function $$f$$ in the fixed design model $$Y(x_i)=f(x_i)+ \epsilon (x_i), i=1,\ldots ,n$$ , by use of the Gasser and Muller kernel estimator. The point set $$\{ x_i\}_{i=1}^{n}\subset [0,1]$$ constitute
Autor:
Csaba Fekete, László G. Kovács, Kari A. Huppert, Daniel P. Schachtman, Yingcai Su, Raymond W.M. Fung, Wenping Qiu
Publikováno v:
Genetic Resources and Crop Evolution. 54:1541-1553
Comparative microarray (Vitis GeneChip) analysis in young leaves revealed considerable variation in gene expression between Vitis vinifera L. and Vitis aestivalis Michx. Approximately 12% of the genes were differentially expressed in the two grapevin
Autor:
Karim Benhenni, Yingcai Su
Publikováno v:
Comptes Rendus Mathematique. 340:615-618
The aim of this Note is to present an optimal stepwise method for estimating an integral of a time series from observations at appropriately designed sampling points. Optimal linear estimators along with sampling points are constructed via a stepwise