随机丢失响应的半参数变系数部分非线性模型的估计
DOI:
作者:
作者单位:

作者简介:

通讯作者:

基金项目:


Estimation for Semiparametric Varyingcoefficient Partially NonlinearModel with Missing Response at Random
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
    摘要:

    通过研究随机缺失响应变量的半参数变系数部分非线性模型,对模型中的各个参数进行估计;通过将线性近似方法与随机缺失响应变量的变系数部分非线性模型的样条估计方程相结合来估计模型中的未知参数,并验证了所得估计量的渐近性质;最后,通过进行两组模拟来验证估计过程的合理性,评估所提出的估计方法的性能,并根据不同的数据量做出估计精确度的对比;结果表明,两个步骤在有限样本中表现良好,随着样本数据量的增加及缺失率的降低,估计的精确性提高。

    Abstract:

    By studying the semiparametric varyingcoefficient partially nonlinear model with missing response at random, the parameters in the model are estimated. The unknown parameters in the model are estimated by combining the linear approximation with the spline estimating equations for varyingcoefficient partially nonlinear models with missing response at random, and the asymptotic properties of the resulting estimators are established. Finally, two simulations were conducted to test the procedures and assess the performance of the proposed estimating. The results show that the two procedures perform well in finite samples, with the increase of the sample size and the decrease of the missing rate, the accuracy of the estimation is improved.

    参考文献
    相似文献
    引证文献
引用本文

张 文 佳.随机丢失响应的半参数变系数部分非线性模型的估计[J].重庆工商大学学报(自然科学版),2018,35(4):7-12
ZHANG Wenjia. Estimation for Semiparametric Varyingcoefficient Partially NonlinearModel with Missing Response at Random[J]. Journal of Chongqing Technology and Business University(Natural Science Edition),2018,35(4):7-12

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2018-07-02
×
2023年《重庆工商大学学报(自然科学版)》影响因子稳步提升