= Bootstrapping (statistics)
{wiki=Bootstrapping_(statistics)}
Bootstrapping is a statistical resampling technique used to estimate the distribution of a sample statistic by repeatedly resampling with replacement from the data set. The central idea is to create multiple simulated samples (called "bootstrap samples"), allowing for the assessment of variability and confidence intervals of the statistic of interest without relying on strong parametric assumptions. \#\#\# Key Steps in Bootstrapping: 1. **Original Sample**: Start with an observed dataset of size \\( n \\).
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