Nonparametric bootstrap methods for hypothesis testing in the event of double-censored data

This paper illustrated how nonparametric bootstrap methods for double-censored data can be used to conduct some hypothesis tests, such as quartiles' hypothesis tests. Through simulation studies, the smoothed bootstrap (SB) method performed better results than Efron's method in most scenari...

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Main Author: Asamh Saleh M. Al Luhayb
Format: Article
Language:English
Published: AIMS Press 2024-01-01
Series:AIMS Mathematics
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/math.2024224?viewType=HTML
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author Asamh Saleh M. Al Luhayb
author_facet Asamh Saleh M. Al Luhayb
author_sort Asamh Saleh M. Al Luhayb
collection DOAJ
description This paper illustrated how nonparametric bootstrap methods for double-censored data can be used to conduct some hypothesis tests, such as quartiles' hypothesis tests. Through simulation studies, the smoothed bootstrap (SB) method performed better results than Efron's method in most scenarios, particularly for small datasets. The SB method provided smaller discrepancies between the actual and nominal error rates.
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spelling doaj.art-7115ea85db4d4568b0a6d3eabdb4072f2024-02-06T01:33:40ZengAIMS PressAIMS Mathematics2473-69882024-01-01924649466410.3934/math.2024224Nonparametric bootstrap methods for hypothesis testing in the event of double-censored dataAsamh Saleh M. Al Luhayb0Department of Mathematics, College of Science, Qassim University, P.O. Box 6644, Buraydah 51452, Saudi ArabiaThis paper illustrated how nonparametric bootstrap methods for double-censored data can be used to conduct some hypothesis tests, such as quartiles' hypothesis tests. Through simulation studies, the smoothed bootstrap (SB) method performed better results than Efron's method in most scenarios, particularly for small datasets. The SB method provided smaller discrepancies between the actual and nominal error rates.https://www.aimspress.com/article/doi/10.3934/math.2024224?viewType=HTMLbootstrap confidence intervaldouble-censored dataefron's bootstrapiterative methodssimulationsmoothed bootstrap
spellingShingle Asamh Saleh M. Al Luhayb
Nonparametric bootstrap methods for hypothesis testing in the event of double-censored data
AIMS Mathematics
bootstrap confidence interval
double-censored data
efron's bootstrap
iterative methods
simulation
smoothed bootstrap
title Nonparametric bootstrap methods for hypothesis testing in the event of double-censored data
title_full Nonparametric bootstrap methods for hypothesis testing in the event of double-censored data
title_fullStr Nonparametric bootstrap methods for hypothesis testing in the event of double-censored data
title_full_unstemmed Nonparametric bootstrap methods for hypothesis testing in the event of double-censored data
title_short Nonparametric bootstrap methods for hypothesis testing in the event of double-censored data
title_sort nonparametric bootstrap methods for hypothesis testing in the event of double censored data
topic bootstrap confidence interval
double-censored data
efron's bootstrap
iterative methods
simulation
smoothed bootstrap
url https://www.aimspress.com/article/doi/10.3934/math.2024224?viewType=HTML
work_keys_str_mv AT asamhsalehmalluhayb nonparametricbootstrapmethodsforhypothesistestingintheeventofdoublecensoreddata