Consistency rates and asymptotic normality of the high risk conditional for functional data

Consistency rates and asymptotic normality of the high risk conditional for functional data

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The maximum of the conditional hazard function is a parameter of great importance in seismicity studies, because it constitutes the maximum risk of occurrence of an earthquake in a given interval of time. Using the kernel nonparametric estimates of the first derivative of the conditional hazard func...

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Bibliographic Details
Main Authors: Rabhi Abbes, Keddani Latifa, Hammou Yassine
Format: Article
Language:English
Published: Sciendo 2015-12-01
Series:Acta Universitatis Sapientiae: Mathematica
Subjects:
almost complete convergence
asymptotic normality
conditional hazard function
functional data
nonparametric estimation
Online Access:https://doi.org/10.1515/ausm-2015-0015

Internet

https://doi.org/10.1515/ausm-2015-0015

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