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首页> 外文期刊>Test: An Official Journal of the Spanish Society of Statistics and Operations Research >Asymptotic behavior of robust estimators in partially linear models with missing responses: the effect of estimating the missing probability on the simplified marginal estimators
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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,我们考虑一个半参数部分线性回归模型,在该模型中,响应中会丢失数据。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54:546-564,2010a)。对于后者,当已知丢失概率并对其进行估计时,将得出一致性结果和渐近分布。

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