Resampling Methods for Survival Parameter Estimation in a Two-Parameter Exponential Model
DOI:
https://doi.org/10.33003/fjs-2026-1015-5845Keywords:
Survival Analysis, Two Parameter Exponential Distribution, Resampling, Bootstrap, JackknifeAbstract
This study compares Bootstrap, Jackknife Delete-1, Delete-2, Delete-3 and a K-level Delete-r procedure for estimating parameters of a two-parameter exponential survival model. Monte Carlo simulation used , , , and 200 replications per scenario, followed by an NCCTG lung-cancer application. Delete-1 generally produced the smallest bias, variance and MSE, while Bootstrap showed greater variability. The K-level Delete-r method remained competitive and stable. The study provides practical evidence for selecting resampling methods and clarifies the distinction between direct Delete-r and recursive K-repeated jackknifing. Future work should examine censoring, larger sample size and other survival distributions.
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Copyright (c) 2026 Ahmed Ibrahim, Monday Osagie Adenomon, Claret Onyinye Ihekaire, Emmanuel Chaku Shammah
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