Efron Resampling Trend 2026

A statistical technique where data is repeatedly sampled with replacement to estimate uncertainty. Named after Bradley Efron, it helps calculate confidence intervals and standard errors without strict assumptions about data distribution. Researchers in fields like medicine, economics, and machine learning benefit from this method, as it provides robust insights when working with complex or limited datasets.