部分线性变系数测量误差模型的随机约束估计
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  • 英文篇名:Stochastic Constraint Estimation of Partial Linear Variable Coefficient Measurement Error Model
  • 作者:李腾 ; 苏宇楠 ; 魏传华
  • 英文作者:Li Teng;Su Yunan;Wei Chuanhua;College of Science,Minzu University of China;
  • 关键词:部分线性变系数模型 ; 测量误差 ; Profile最小二乘方法 ; 随机线性约束 ; 混合估计
  • 英文关键词:partial linear variable coefficient model;;measurement error;;profile least square method;;stochastic linear constraint;;mixed estimation
  • 中文刊名:TJJC
  • 英文刊名:Statistics & Decision
  • 机构:中央民族大学理学院;
  • 出版日期:2019-04-10 17:32
  • 出版单位:统计与决策
  • 年:2019
  • 期:v.35;No.523
  • 基金:国家自然科学基金资助项目(11301565)
  • 语种:中文;
  • 页:TJJC201907006
  • 页数:3
  • CN:07
  • ISSN:42-1009/C
  • 分类号:23-25
摘要
文章考虑部分线性变系数模型在线性部分自变量存在测量误差并且参数分量附加有随机约束条件时的估计问题。基于校正profile最小二乘估计和混合估计方法,提出了参数分量的校正profile混合估计,并且给出了所提估计量的渐近性质。利用数值模拟验证了所提估计方法的有效性。
        This paper considers the estimation problem of partial linear variable coefficient model when there are measurement errors in linear partial independent variables and the parameter components are subject to random constraints. Based on corrected profile least squares estimation and mixed estimation method, this paper proposes the correction profile hybrid estimation of parameter components, and gives the asymptotic properties of the estimators. Finally the paper uses numerical simulation to verify the validity of the proposed method.
引文
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