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响应变量缺失下自适应变系数EV模型的估计与渐近性质
Estimation and asymptotic property of adaptive variable coefficient EV model with response variables missing
【摘要】 讨论响应变量缺失情况下自适应变系数EV模型的估计问题,利用核估计方法对参数和系数函数进行两步估计,证明估计值的相合性和渐近正态性,数值模拟对所得的两步估计值进行比较,并且得出第二步估计值要优于第一步估计值.
【Abstract】 The estimation problem in the adaptive variable coefficient EV model with response variables missing is discussed.By using kernel estimation method,the parameter and the coefficient function are estimated by two-step estimation,the consistency and the asymptotic normality of the estimated value is proved.The two-step estimated values are compared with numerical simulation and it is found that the second-step estimate is superior to the first-step one.
【关键词】 自适应变系数EV模型;
缺失数据;
相合性;
渐近正态性;
【Key words】 adaptive variable coefficient EV model; data missing; consistency; asymptotic normality;
【Key words】 adaptive variable coefficient EV model; data missing; consistency; asymptotic normality;
【基金】 国家自然科学基金(11261031)
- 【文献出处】 兰州理工大学学报 ,Journal of Lanzhou University of Technology , 编辑部邮箱 ,2015年02期
- 【分类号】O212.1
- 【被引频次】1
- 【下载频次】58