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Smoothing the Bootstrap for Analysis of Double-Censored Data

Year: 2025

Type: article

Abstract: Thispaperintroducesanewsmoothedbootstraptechniqueforanalyzingdouble-censored data. The method is implemented based on a variant of Hill’s A (n) assumption adapted for the double-censored setting. Through simulation studies, we compare the proposed approach with Efrons classical bootstrap, focusing on the coverage accuracy of quartiles in bootstrap confidence intervals. The results indicate that the new smoothed bootstrap generally outper- forms Efrons method, particularly for small to medium-sized datasets.

Source: OICC Press Journals

DOI: 10.57647/mathsci.2025.1901.01

Authors: Alotaibi, Reid, M. A. Aldawsari, Abdulrahman, M. Al Luhayb, Asamh Saleh

Institutions: Shaqra University, Prince Sattam Bin Abdulaziz University, Qassim University

Language: English

Topic: Statistical Methods and Inference

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7081951322

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