Source: wikibot/bootstrap-error-adjusted-single-sample-technique

= Bootstrap error-adjusted single-sample technique
{wiki=Bootstrap_error-adjusted_single-sample_technique}

The Bootstrap error-adjusted single-sample technique is a statistical method that combines bootstrap resampling with error adjustment to provide more reliable estimates from a single sample of data. Here's a breakdown of the key components and concepts involved: \#\#\# Bootstrap Resampling - **Bootstrap Method**: This is a resampling technique used to estimate the distribution of a statistic (like mean, median, variance, etc.) by repeatedly sampling, with replacement, from the observed data.