A note on the estimation of the hölder constant
In this article, we develop a nonparametric estimator for the Hölder constant of a density function. We consider a simulation study to evaluate the performance of the proposal and construct smooth bootstrap confidence intervals. Also, we give a brief review over the impossibility to decide whether a...
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Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_03610918_v43_n4_p905_Henry |
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todo:paper_03610918_v43_n4_p905_Henry2023-10-03T15:26:40Z A note on the estimation of the hölder constant Henry, G. Rodriguez, D. Sued, M. Discernibility Hölder density Nonparametric estimation Bootstrap confidence interval Discernibility Non-parametric estimations Nonparametric estimators Simulation studies Statistics Statistical methods In this article, we develop a nonparametric estimator for the Hölder constant of a density function. We consider a simulation study to evaluate the performance of the proposal and construct smooth bootstrap confidence intervals. Also, we give a brief review over the impossibility to decide whether a density function is Hölder. © 2014 Copyright Taylor and Francis Group, LLC. Fil:Henry, G. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Rodriguez, D. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Sued, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_03610918_v43_n4_p905_Henry |
institution |
Universidad de Buenos Aires |
institution_str |
I-28 |
repository_str |
R-134 |
collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
topic |
Discernibility Hölder density Nonparametric estimation Bootstrap confidence interval Discernibility Non-parametric estimations Nonparametric estimators Simulation studies Statistics Statistical methods |
spellingShingle |
Discernibility Hölder density Nonparametric estimation Bootstrap confidence interval Discernibility Non-parametric estimations Nonparametric estimators Simulation studies Statistics Statistical methods Henry, G. Rodriguez, D. Sued, M. A note on the estimation of the hölder constant |
topic_facet |
Discernibility Hölder density Nonparametric estimation Bootstrap confidence interval Discernibility Non-parametric estimations Nonparametric estimators Simulation studies Statistics Statistical methods |
description |
In this article, we develop a nonparametric estimator for the Hölder constant of a density function. We consider a simulation study to evaluate the performance of the proposal and construct smooth bootstrap confidence intervals. Also, we give a brief review over the impossibility to decide whether a density function is Hölder. © 2014 Copyright Taylor and Francis Group, LLC. |
format |
JOUR |
author |
Henry, G. Rodriguez, D. Sued, M. |
author_facet |
Henry, G. Rodriguez, D. Sued, M. |
author_sort |
Henry, G. |
title |
A note on the estimation of the hölder constant |
title_short |
A note on the estimation of the hölder constant |
title_full |
A note on the estimation of the hölder constant |
title_fullStr |
A note on the estimation of the hölder constant |
title_full_unstemmed |
A note on the estimation of the hölder constant |
title_sort |
note on the estimation of the hölder constant |
url |
http://hdl.handle.net/20.500.12110/paper_03610918_v43_n4_p905_Henry |
work_keys_str_mv |
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1807322168366727168 |