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Semiparametric inference with missing data: Robustness to outliers and model misspecification
Econometrics and Statistics ( IF 2.0 ) Pub Date : 2020-10-01 , DOI: 10.1016/j.ecosta.2020.01.003
Eva Cantoni , Xavier de Luna

Classical semiparametric inference with missing outcome data is not robust to contamination of the observed data and a single observation can have arbitrarily large influence on estimation of a par ...

中文翻译:

缺少数据的半参数推理:异常值的稳健性和模型错误指定

缺少结果数据的经典半参数推理对观察到的数据的污染并不稳健,并且单个观察可能会对参数的估计产生任意大的影响。
更新日期:2020-10-01
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