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http://hdl.handle.net/2183/29395

Bootstrap Selector for the Smoothing Parameter of Beran’s Estimator

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Pelaez_Suarez_Rebeca_2021_Bootstrap_Selector.pdf (849.9 KB)

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URI: http://hdl.handle.net/2183/29395
DOI: 10.3390/engproc2021007028

Publication date

2021

Authors

Peláez, Rebeca

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Journal Title

Bibliographic citation

Suárez, R.P.; Abad, R.C.; Fernández, J.M.V. Bootstrap Selector for the Smoothing Parameter of Beran’s Estimator. Eng. Proc. 2021, 7, 28. https://doi.org/10.3390/engproc2021007028

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Academic degree

Abstract

[Abstract] This work proposes a resampling technique to approximate the smoothing parameter of Beran’s estimator. It is based on resampling by the smoothed bootstrap and minimising the bootstrap approximation of the mean integrated squared error to find the bootstrap bandwidth. The behaviour of this method has been tested by simulation on several models. Bootstrap confidence intervals are also addressed in this research and their performance is analysed in the simulation study.

Description

Presented at the 4th XoveTIC Conference, A Coruña, Spain, 7–8 October 2021.

Keywords

Beran’s estimator Survival analysis Bootstrap Bandwidth selector Confidence intervals

Editor version

https://doi.org/10.3390/engproc2021007028

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Atribución 4.0 Internacional

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Atribución 4.0 Internacional

Except where otherwise noted, this item's license is described as Atribución 4.0 Internacional