Robust testing for superiority between two regression curves
| العنوان: | Robust testing for superiority between two regression curves |
|---|---|
| المؤلفون: | Boente, Graciela Lina |
| سنة النشر: | 2016 |
| المجموعة: | Biblioteca Digital FCEN-UBA (Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires) |
| مصطلحات موضوعية: | Hypothesis testing, Nonparametric regression models, Robust inference, Smoothing techniques, Sampling, Sensitivity analysis, Statistical tests, Statistics, Asymptotic distributions, Non-parametric regression, Regression curve, Regression function, Regression model, Regression analysis |
| الوصف: | The problem of testing the null hypothesis that the regression functions of two populations are equal versus one-sided alternatives under a general nonparametric homoscedastic regression model is considered. To protect against atypical observations, the test statistic is based on the residuals obtained by using a robust estimate for the regression function under the null hypothesis. The asymptotic distribution of the test statistic is studied under the null hypothesis and under root-n local alternatives. A Monte Carlo study is performed to compare the finite sample behaviour of the proposed tests with the classical one obtained using local averages. A sensitivity analysis is carried on a real data set. © 2015 Elsevier B.V. ; Fil:Boente, G. 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_01679473_v97_n_p151_BoenteTest; http://hdl.handle.net/20.500.12110/paper_01679473_v97_n_p151_BoenteTest |
| الإتاحة: | https://doi.org/20.500.12110/paper_01679473_v97_n_p151_BoenteTest https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01679473_v97_n_p151_BoenteTest https://hdl.handle.net/20.500.12110/paper_01679473_v97_n_p151_BoenteTest |
| رقم الانضمام: | edsbas.2329E8CD |
| قاعدة البيانات: | BASE |
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