Resampling: Estimating Error And Variability
Resampling is a technique used in error assessment to estimate the standard deviation of a statistic by repeatedly sampling from the original dataset. By creating new datasets through methods like bootstrapping, jackknifing, or Monte Carlo simulation, resampling helps construct the sampling distribution and estimate measures of error. R provides various functions for resampling, allowing researchers…