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Asymptotic behavior of robust estimators in partially linear models with missing responses: the effect of estimating the missing probability on the simplified marginal estimators

机译:具有缺失响应的部分线性模型中鲁棒估计的渐近行为:估计缺失概率对简化边际估计的影响

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摘要

In this paper, we consider a semiparametric partially linear regression model where missing data occur in the response. We derive the asymptotic behavior of the robust estimators for the regression parameter and of the weighted simplified location estimator introduced in Bianco et al. (Comput. Stat. Data Anal. 54:546–564, 2010a). For the latter, consistency results and the asymptotic distribution are derived when the missing probability is known and also when it is estimated.
机译:在本文中,我们考虑了一个半参数部分线性回归模型,其中响应中缺少数据。我们推导了回归参数的鲁棒估计量和Bianco等人引入的加权简化位置估计量的渐近行为。 (计算统计数据分析,2010:54:546-564)。对于后者,当已知丢失概率并对其进行估计时,将导出一致性结果和渐近分布。

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  • 来源
    《TEST》 |2011年第3期|524-548|共25页
  • 作者单位

    Departamento de Matemáticas and Instituto de Cálculo Facultad de Ciencias Exactas y Naturales Universidad de Buenos Aires and CONICET Ciudad Universitaria Pabellón 2 Buenos Aires 1428 Argentina;

    Departamento de Matemáticas and Instituto de Cálculo Facultad de Ciencias Exactas y Naturales Universidad de Buenos Aires and CONICET Ciudad Universitaria Pabellón 2 Buenos Aires 1428 Argentina;

    Departamento de Estatística e Investigación Operativa Facultad de Matemáticas Universidad de Santiago de Compostela Campus Sur. 15706 Santiago de Compostela Spain;

    Departamento de Estadística e Investigación Operativa Universidad de Vigo Campus Orense. Campus Universitario As Lagoas s 32004 Ourense Spain;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Fisher-consistency; Kernel weights; M-location functionals; Missing at random; Nonparametric regression; Robust estimation; 62G35; 62F12;

    机译:Fisher一致性;核权重;M位置功能;随机缺失;非参数回归;稳健估计;62G35;62F12;

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