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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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
AIMS Press
2024-01-01
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| シリーズ: | AIMS Mathematics |
| 主題: | |
| オンライン･アクセス: | https://www.aimspress.com/article/doi/10.3934/math.2024224?viewType=HTML |