التفاصيل البيبلوغرافية
| العنوان: |
Estimating additive models with missing responses. |
| المؤلفون: |
Boente, Graciela1 (AUTHOR) gboente@dm.uba.ar, Martínez, Alejandra M.1 (AUTHOR) |
| المصدر: |
Communications in Statistics: Theory & Methods. 2016, Vol. 45 Issue 2, p413-429. 17p. |
| مصطلحات موضوعية: |
*MULTIVARIATE analysis, *ESTIMATION theory, *SIMULATION methods & models, *QUANTITATIVE research, INTEGRALS, KERNEL (Mathematics) |
| مستخلص: |
For multivariate regressors, the Nadaraya–Watson regression estimator suffers from the well-knowncurse 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. [ABSTRACT FROM AUTHOR] |
|
Copyright of Communications in Statistics: Theory & Methods is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| قاعدة البيانات: |
Business Source Index |
