Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Xing-De Duan"'
Autor:
Jie Zhang, Xue-Bing Ni, Zi-Yun Chen, Yun Zhang, Ran Wei, Zheng-Da Gong, Dai-Yun Zhu, Xiao-Ming Cui, Zong-Ti Shao, Hong-Bo Liu, Yu-Qiong Li, Jian Wang, Zi-Hou Gao, Xing-De Duan, Hang Jiang, Jia-Fu Jiang, Tommy Tsan-Yuk Lam, En-Jiong Huang, Na Jia, Chun-Hong Du
Publikováno v:
Zoonoses, Vol 3, Iss 1, p 967 (2023)
Ticks are obligate blood-sucking vectors for multiple zoonotic diseases. In this study, tick samples were collected from Yunnan Province, China, which is well-known as the “Global Biodiversity Hotspot” in the world. This study aimed to clarify th
Externí odkaz:
https://doaj.org/article/7d83cb3803c84a2da0ba4befcfc537a8
Publikováno v:
Procedia Computer Science. 154:561-565
Following [7], we introduce the nested Inverse Gaussian Mixed-Effects model to analyze right-skewed and continuous longitudinal data. The nested random effects don’t follow a specific parameter distribution and rely only on the first two moments as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6efe3bf9b5ed4089023c4d38c960a506
https://doi.org/10.1016/j.procs.2019.06.089
https://doi.org/10.1016/j.procs.2019.06.089
Publikováno v:
Communications in Statistics - Simulation and Computation. 48:2487-2500
Simplex regression model is often employed to analyze continuous proportion data in many studies. In this paper, we extend the assumption of a constant dispersion parameter (homogeneity) to...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af33209a19ed4d0c2fba47e65a6cebcc
https://doi.org/10.1080/03610918.2018.1458129
https://doi.org/10.1080/03610918.2018.1458129
Autor:
Xing, Chen, Zheng Xiang, Liu, Chun Hong, DU, Mei, Hong, Zheng da, Gong, Zong Ti, Shao, Xing de, Duan, Zi Hou, Gao
Publikováno v:
Ying yong sheng tai xue bao = The journal of applied ecology. 30(6)
To understand the characteristics of community structure and spatial distribution of small mammals in agricultural area of Yunnan Province, a systematic investigation was carried out in 104 quadrats of 25 regions in Yunnan Province from August 2010 t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::98694228a511fbd499736e95d51880f7
https://pubmed.ncbi.nlm.nih.gov/31257777
https://pubmed.ncbi.nlm.nih.gov/31257777
Autor:
Bao-Gui Jiang, Chun-Hong Du, Xing-De Duan, Jia-Fu Jiang, Yun-Xi Liu, Hong-Bo Liu, Zong-Ti Shao, Frans Jongejan, Zi-Hou Gao, Ran Wei, Wu-Chun Cao, Na Jia
Publikováno v:
Vector borne and zoonotic diseases (Larchmont, N.Y.). 18(10)
Rare investigation on tick-borne pathogens was carried out in Yunnan, China. In this study, we did a survey on Ehrlichia infection in small mammals and ticks. A total of 40 small mammals and 49 ticks were collected from Tengchong, Yunnan province. PC
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6e671bdb97e8203392847a81ad1d395
https://pubmed.ncbi.nlm.nih.gov/29897842
https://pubmed.ncbi.nlm.nih.gov/29897842
Publikováno v:
ICMAI
Normality assumption of the random errors and the random effects is a routinely used technique in data analysis. However, this assumption might be unreasonable in many practical cases. In this paper the limitation is relaxed by assuming that the rand
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec6c758589ef971b9d661f82327cf4d3
https://doi.org/10.1145/3208788.3208805
https://doi.org/10.1145/3208788.3208805
Autor:
Nian-Sheng Tang, Xing-De Duan
Publikováno v:
Statistics. 50:525-539
This paper develops a Bayesian approach to obtain the joint estimates of unknown parameters, nonparametric functions and random effects in generalized partially linear mixed models (GPLMMs), and presents three case deletion influence measures to iden
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa1f7ef1774ccd707356328e9786042f
https://doi.org/10.1080/02331888.2015.1078332
https://doi.org/10.1080/02331888.2015.1078332
Autor:
Nian-Sheng Tang, Xing-De Duan
Publikováno v:
Journal of Multivariate Analysis. 126:86-99
This paper develops a Bayesian local influence approach to assess the effects of minor perturbations to the prior, sampling distribution and individual observations on the statistical inference in generalized partial linear mixed models (GPLMMs) with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a66f1d5d3e8d6a807db469b4e28d472b
https://doi.org/10.1016/j.jmva.2013.12.005
https://doi.org/10.1016/j.jmva.2013.12.005
Autor:
Xing-De Duan, Nian-Sheng Tang
Publikováno v:
Computational Statistics & Data Analysis. 56:4348-4365
A generalized partial linear mixed model (GPLMM) is a natural extension of generalized linear mixed models (GLMMs) and partial linear models (PLMs). Almost all existing methods for analyzing GPLMMs are developed on the basis of the assumption that ra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ac89eafd18acdb6322913e026552180
https://doi.org/10.1016/j.csda.2012.03.018
https://doi.org/10.1016/j.csda.2012.03.018
Autor:
Xian-guo, GUO, Zheng-da, GONG, Ti-jun, QIAN, Xi-guan, FENG, Xing-de, DUAN, Wei, LI, Xi-kun, ZHANG
Publikováno v:
Insect Science; Mar2000, Vol. 7 Issue 1, p47-52, 6p