Estimating additive models with missing responses
| العنوان: | Estimating additive models with missing responses |
|---|---|
| المؤلفون: | Boente, Graciela Lina, Martinez, Alejandra Mercedes |
| سنة النشر: | 2016 |
| المجموعة: | Biblioteca Digital FCEN-UBA (Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires) |
| مصطلحات موضوعية: | Additive models, Kernel weights, Marginal integration, Missing Data, Non parametric regression, Statistical methods, Statistics, Kernel weight, Non-parametric regression, Estimation |
| الوصف: | For multivariate regressors, the Nadaraya-Watson regression estimator suffers from the well-known curse of dimensionality. Additive models overcome this drawback. To estimate the additive components, it is usually assumed that we observe all the data. However, in many applied statistical analysis missing data occur. In this paper, we study the effect of missing responses on the additive components estimation. The estimators are based on marginal integration adapted to the missing situation. The proposed estimators turn out to be consistent under mild assumptions. A simulation study allows to compare the behavior of our procedures, under different scenarios. © 2016 Taylor & Francis Group, LLC. ; Fil:Boente, G. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. ; Fil:Martínez, A.M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. |
| نوع الوثيقة: | other/unknown material |
| اللغة: | unknown |
| العلاقة: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03610926_v45_n2_p413_BoenteTest; http://hdl.handle.net/20.500.12110/paper_03610926_v45_n2_p413_BoenteTest |
| الإتاحة: | https://doi.org/20.500.12110/paper_03610926_v45_n2_p413_BoenteTest https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03610926_v45_n2_p413_BoenteTest https://hdl.handle.net/20.500.12110/paper_03610926_v45_n2_p413_BoenteTest |
| رقم الانضمام: | edsbas.CB34CA45 |
| قاعدة البيانات: | BASE |
| الوصف غير متاح. |