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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Format: | Article |
Language: | English |
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AIMS Press
2024-01-01
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Series: | AIMS Mathematics |
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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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format | Article |
id | doaj.art-7115ea85db4d4568b0a6d3eabdb4072f |
institution | Directory Open Access Journal |
issn | 2473-6988 |
language | English |
last_indexed | 2024-03-08T05:34:00Z |
publishDate | 2024-01-01 |
publisher | AIMS Press |
record_format | Article |
series | AIMS Mathematics |
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 |