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[会议论文] 作者:Guo-Liang TIAN, 来源:The Third IMS-China International Conference on Statistics a 年份:2011
Since the randomized response model to solicit sensitive information was proposed by Warner in 1965, it has been used in a broad range of statistical applications for surveys involving sensitive quest...
[期刊论文] 作者:Jun-wu YU,Guo-liang TIAN, 来源:黑龙江科技学院学报 年份:2011
为探究吕家坨井田地质构造格局,根据钻孔勘探资料,采用分形理论和趋势面分析方法,研究了井田7...
[会议论文] 作者:Guo-Liang TIAN,Yin LIU, 来源:上海交通大学 年份:2016
Incomplete categorical data often occur in the fields such as biomedicine,epidemiology,psychology and sports.In this paper,we first develop a novel minorization–maximization(MM)algo-rithm for calculat...
[会议论文] 作者:Chi ZHANG,Guo-Liang TIAN, 来源:上海交通大学 年份:2016
Motivated by a real data analysis,we in this paper propose a new multivariate t(MVT)distribution by allowing variable degrees of freedom for each univariate component.This new distribution is called T...
[会议论文] 作者:Guo-Liang Tian,Hui-Qiong Li, 来源:上海交通大学 年份:2016
Some existing confidence interval methods and hypothesis testing methods in the analysis of a contingency table with incomplete observations in both margins entirely depend on an underlying assumption...
[会议论文] 作者:Xi-Fen HUANG,Guo-Liang TIAN,Jinfeng XU, 来源:上海交通大学 年份:2016
The minorization–maximization(MM)principle is an important and useful tool in the design of optimization algorithms for calculating the maximum likelihood estimates(MLE)of parameters in statistics bec...
[期刊论文] 作者:Ma Yu-Gang,Ren Zhong-Zhou,Fang De-Qing,Zhong Chen,Wei Yi-Bin,Guo Wei,Zhou Xing-Fei,Wang Kun,Ma Guo-Liang,Tian, 来源:中国物理(英文版) 年份:2005
Ne and Mg isotope chains are investigated based on constrained calculations in the framework of a deformed relativistic mean-field (RMF) model with the NL075 pa...
[期刊论文] 作者:MA Yu-Gang,REN Zhong-Zhou,FANG De-Qing,ZHONG Chen,WEI Yi-Bin,GUO Wei,ZHOU Xing-Fei,WANG Kun,MA Guo-Liang,TIAN, 来源:中国物理快报(英文版) 年份:2004
A candidate for proton halo nucleus 23Al is investigated based on the constrained calculations in the framework of the deformed relativistic mean field (RMF) mo...
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