20.500.12556/RUL-175851 Quantifying uncertainty all we need is the bootstrap? {A critical literature review and comprehensive simulation study is used to show that (a) non-parametric bootstrap is a viable alternative to commonly taught and used methods in basic estimation tasks (mean, variance, quartiles, correlation). and (b) contrary to recommendations in most related work, double bootstrap performs better than BCa.} Quantifying uncertainty is a fundamental aspect of statistical practice, but it involves a variety of methods, mathematical formulas, and underlying concepts. Could the simpler and more generally applicable non-parametric bootstrap serve as an alternative? This paper addresses this question through a review of related work and a simulation study of one- and two-sided confidence intervals across varying sample sizes, confidence levels, data-generating processes, and statistical functionals. The results suggest that the bootstrap, particularly the double bootstrap, could simplify statistical education and practice without compromising effectiveness. statistics inference standard errors confidence intervals simulation study statistika statistično sklepanje standardne napake intervali zaupanja simulacijska študija true false true Angleški jezik Slovenski jezik Članek v reviji 2025-11-11 09:30:32 2025-11-11 09:30:32 2026-03-21 04:43:45 0000-00-00 00:00:00 2026 0 0 Str. 1009–1027 no. 4 Vol. 96 2026 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 519.237:004 0094-9655 10.1080/00949655.2025.2577274 255169027 Quantifying_uncertainty__all_we_need_is_the_bootstrap_.pdf Quantifying_uncertainty__all_we_need_is_the_bootstrap_.pdf 1 01D808CC918C895C3605A984C4042881 3a1af9b7df07b8f0bfe6d374a2e647ee36631eb71b86527f1abf512d4037738d b7b547ef-244d-11f1-b0ab-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=230982 https://www.tandfonline.com/doi/full/10.1080/00949655.2025.2577274 1 5d5341ca-bed8-11f0-9328-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=221755 Fakulteta za računalništvo in informatiko 0 0 0