当前位置:
X-MOL 学术
›
Econometrics and Statistics
›
论文详情
Our official English website, www.x-mol.net, welcomes your
feedback! (Note: you will need to create a separate account there.)
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
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
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。