التفاصيل البيبلوغرافية
| العنوان: |
Robust nonparametric estimation with missing data |
| المؤلفون: |
Boente, Graciela1 gboente@dm.uba.ar, González–Manteiga, Wenceslao2 wenceslao@usc.es, Pérez–González, Ana3 anapg@uvigo.es |
| المصدر: |
Journal of Statistical Planning & Inference. Feb2009, Vol. 139 Issue 2, p571-592. 22p. |
| مصطلحات موضوعية: |
*ROBUST statistics, *NONPARAMETRIC statistics, *REGRESSION analysis, *MATHEMATICAL statistics, *DISTRIBUTION (Probability theory), *ASYMPTOTES, *MISSING data (Statistics) |
| مستخلص: |
Abstract: In this paper, under a nonparametric regression model, we introduce two families of robust procedures to estimate the regression function when missing data occur in the response. The first proposal is based on a local -functional applied to the conditional distribution function estimate adapted to the presence of missing data. The second proposal imputes the missing responses using the local -smoother based on the observed sample and then estimates the regression function with the completed sample. We show that the robust procedures considered are consistent and asymptotically normally distributed. A robust procedure to select the smoothing parameter is also discussed. [Copyright &y& Elsevier] |
| قاعدة البيانات: |
Academic Search Index |
