12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Resampling is a method for studying the stability of statistics and estimates based on an existing data set. It is used to validate the behavior of estimates by recombining known data to produce new data. This allows the robustness and variance of certain estimates to be determined.