基于sieve方法的响应变量为当前状态数据的部分函数型线性模型的估计

基于sieve方法的响应变量为当前状态数据的部分函数型线性模型的估计

论文摘要

利用sieve方法研究响应变量为当前状态数据的部分函数型线性模型的估计.在一定的条件下,证明了该估计的强相合性和渐近正态性,得到了该估计的收敛速度,并且非参数部分达到最优收敛速度.最后通过一个数值模拟来研究该估计的有限样本性质.

论文目录

文章来源

类型: 期刊论文

作者: 王龙兵,张忠占

关键词: 部分函数型线性模型,当前状态数据,空间,渐近性质

来源: 高校应用数学学报A辑 2019年01期

年度: 2019

分类: 基础科学

专业: 数学

单位: 北京工业大学应用数理学院

基金: 国家自然科学基金(11771032)

分类号: O212

DOI: 10.13299/j.cnki.amjcu.002054

页码: 1-10

总页数: 10

文件大小: 388K

下载量: 47

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基于sieve方法的响应变量为当前状态数据的部分函数型线性模型的估计
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