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协变量随机缺失下线性模型的经验似然推断及其应用
引用本文:杨宜平. 协变量随机缺失下线性模型的经验似然推断及其应用[J]. 数理统计与管理, 2011, 30(4): 655-663
作者姓名:杨宜平
作者单位:重庆工商大学数学与统计学院,重庆,400067
基金项目:国家自然科学基金(10871013,10871217); 北京市自然科学基金(1102008); 高等学校博士学科点专项科研基金(20101103120016); 重庆工商大学科研启动经费项目(20105609)
摘    要:考虑协变量带有缺失的线性模型,提出了加权的经验似然方法和借补的经验似然方法,证明了所提出的经验对数似然比渐近于χ~2分布,由此构造回归系数的置信域。模拟研究了所提出方法的有限样本性质,并进行了实例分析。

关 键 词:线性模型  随机缺失  经验似然  X~2分布

Empirical Likelihood for Linear Models with Covariate Data Missing at Random
YANG Yi-Ping. Empirical Likelihood for Linear Models with Covariate Data Missing at Random[J]. Application of Statistics and Management, 2011, 30(4): 655-663
Authors:YANG Yi-Ping
Affiliation:YANG Yi-Ping (College of Mathematics and Statistics,Chongqing Technology and Business University,Chongqing 400067,China)
Abstract:Linear models with covariate data missing at random are considered,the weighted empirical likelihood and the imputed empirical likelihood are proposed.The proposed empirical log-likelihood ratios are proven to be asymptotically chi-squared,and the corresponding confidence regions for the regression coefficients are then constructed.The finite sample behavior of the proposed method is evaluated with simulation study,and a real example is analyzed.
Keywords:linear model  missing at random  empirical likelihood  x~2-distribution  
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