响应变量缺失下变系数部分线性模型的参数估计  

Parameter Estimation for Varying Coefficient Partially Linear Model with Missing Data

作　　者：欧玉莲 袁永生[1] 李磊 

机构地区：[1]河海大学理学院

出　　处：《重庆理工大学学报（自然科学）》2017年第10期211-215,共5页Journal of Chongqing University of Technology：Natural Science

基　　金：国家自然科学基金资助项目(11201116)

摘　　要：基于两步法思想,对响应变量随机缺失下的变系数部分线性模型中的参数进行了估计,并通过模拟证明了改进后的两步法对此类问题的解决是简单有效的。实例分析了矮抗58小麦乳熟期抗倒伏情况。实例分析表明:对于小麦的抗倒伏性研究有一定的指导意义,说明了所提方法的合理性与可行性。The modified two-step method is used to estimate the parametric and nonparametric components and the simulation results show that the improved two-step method is used well to the problem of the absence of response variables in partially linear models. In the end,we analyzed the relationship between the mechanical strength and the other effects of Aikang 58 wheat in the milk stage,which has a certain guiding significance to the research on Lodging resistance of wheat,and it also illustrates the rationality and feasibility of the proposed method.

关 键 词：缺失数据 变系数部分线性模型 两步法 

分 类 号：O212.7[理学—概率论与数理统计]