Jackknife

The Jackknife is a statistical method used to estimate how accurate a measurement or estimate is. It works by systematically leaving out one data point at a time from a dataset, recalculating the estimate each time. This process helps assess the variability or uncertainty of the original estimate, providing insight into its reliability. Essentially, the Jackknife tests how much the result depends on individual data points, offering a way to understand the stability and precision of your findings without needing additional data.