التفاصيل البيبلوغرافية
| العنوان: |
Robust estimation for nonparametric generalized regression |
| المؤلفون: |
Bianco, Ana Maria, Boente Boente, Graciela Lina, Sombielle, Susana |
| بيانات النشر: |
Elsevier |
| مصطلحات موضوعية: |
Asymptotic properties, Nonparametric generalized regression, Robust estimation, Smoothing techniques, Estadística y Probabilidad, Matemáticas, CIENCIAS NATURALES Y EXACTAS, stat |
| الوصف: |
This paper focuses on nonparametric regression estimation for the parameters of a discrete or continuous distribution, such as the Poisson or Gamma distributions, when anomalous data are present. The proposal is a natural extension of robust methods developed in the setting of parametric generalized linear models. Robust estimators bounding either large values of the deviance or of the Pearson residuals are introduced and their asymptotic behaviour is derived. Through a Monte Carlo study, for the Poisson and Gamma distributions, the finite properties of the proposed procedures are investigated and their performance is compared with that of the classical ones. A resistant cross-validation method to choose the smoothing parameter is also considered. ; Fil: Bianco, Ana Maria. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina ; Fil: Boente Boente, Graciela Lina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigaciones Matemáticas "Luis A. Santaló"; Argentina ; Fil: Sombielle, Susana. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Universidad Tecnologica Nacional; Argentina |
| نوع الوثيقة: |
article in journal/newspaper |
| اللغة: |
English |
| العلاقة: |
http://hdl.handle.net/11336/14907Test |
| الإتاحة: |
http://hdl.handle.net/11336/14907Test |
| حقوق: |
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| رقم الانضمام: |
edsbas.C937547C |
| قاعدة البيانات: |
BASE |
