Bootstrap model

The Bootstrap model, often referred to simply as "bootstrapping," is a statistical method that involves resampling a dataset to estimate the distribution of a statistic (like the mean, median, variance, etc.) or to create confidence intervals. This approach is particularly useful in situations where the theoretical distribution of the statistic is unknown or when the sample size is small.