Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Guowang Luo"'
Autor:
Guowang Luo, Kefyalew Gebeyew, Chuanshe Zhou, Zhiliang Tan, Wenzhu Yang, Dongyan Niu, Tao Ran, Yong Liu
Publikováno v:
Frontiers in Microbiology, Vol 14 (2023)
Weaning goats are susceptible to diarrhea and have weakened immune functions due to physiological, dietary and environmental stresses. Astragalus membranaceus (A. membranaceus), a traditional Chinese medicinal herb, has been shown to improve growth p
Externí odkaz:
https://doaj.org/article/4bf1baa331ed41b69716a8863079efb5
Publikováno v:
Journal of Inequalities and Applications, Vol 2017, Iss 1, Pp 1-16 (2017)
Abstract We introduce logarithmic generalized Maxwell distribution motivated by Vodă (Math. Rep. 11:171-179, 2009), which is an extension of the generalized Maxwell distribution. Some interesting properties of this distribution are studied and the a
Externí odkaz:
https://doaj.org/article/f25898e0fa73497296d7d781c3ab5a1e
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2017 (2017)
In view of the existing literature panel data factor analysis model in practical application of the deficiency, this paper established the model of factor analysis based on TOPSIS method, which is applied to the analysis of the panel data factor in p
Externí odkaz:
https://doaj.org/article/592572ecbb6c4183a20bd778bc8bf291
Autor:
Guowang Luo, Kefyalew Gebeyew, Chuanshe Zhou, Zhiliang Tan, Wenzhu Yang, Dongyan Niu, Tao Ran, Yong Liu
Publikováno v:
Frontiers in Microbiology; 2024, p1-13, 13p
Publikováno v:
Journal of Systems Science and Complexity. 34:2310-2333
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f53f8cfb6265d9ece869feaa347e7945
https://doi.org/10.1007/s11424-021-1088-y
https://doi.org/10.1007/s11424-021-1088-y
Publikováno v:
Journal of the Korean Statistical Society. 49:1148-1172
This paper investigates estimation of semiparametric varying-coefficient spatial autoregressive models in which the dependent variable is missing at random. An inverse propensity score weighted sieve two-stage least squares (S-2SLS) estimation with i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b156a0f4645704b5651bcfba4607767
https://doi.org/10.1007/s42952-019-00048-2
https://doi.org/10.1007/s42952-019-00048-2
Publikováno v:
Journal of Multivariate Analysis. 192:105093
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3598d174e363a3623b6a50ed889f10f0
https://doi.org/10.1016/j.jmva.2022.105093
https://doi.org/10.1016/j.jmva.2022.105093
Autor:
Guowang Luo, Mixia Wu
Publikováno v:
Communications in Statistics - Simulation and Computation. 51:2268-2286
This article considers statistical inference for restricted semiparametric varying-coefficient spatial autoregressive(SVCSAR) models. We propose a restricted estimation method for parametric and no...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0b14f681097d18bfe23d7f83357f302
https://doi.org/10.1080/03610918.2019.1693595
https://doi.org/10.1080/03610918.2019.1693595
Autor:
Guowang Luo, Mixia Wu
Publikováno v:
Communications in Statistics - Theory and Methods. 50:2062-2079
In this article, we consider variable selection in semiparametric varying-coefficient spatial autoregressive models with a diverging number of parameters. With the nonparametric functions approxima...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::775d6e5928e25e1f056878325c5e5e3d
https://doi.org/10.1080/03610926.2019.1659367
https://doi.org/10.1080/03610926.2019.1659367
Publikováno v:
Communications in Statistics - Theory and Methods. 47:3441-3452
In this paper, the higher order asymptotic expansion of the moments of extreme from generalized Maxwell distribution is gained, by which one establishes the rate of convergence of the moment of the normalized partial maximum to the moment of the asso
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e714674bffb0b9f590197ce542920d06
https://doi.org/10.1080/03610926.2017.1359293
https://doi.org/10.1080/03610926.2017.1359293