Resamplausmenetelmä
Resamplausmenetelmä, often translated as resampling method, is a broad category of statistical techniques used to estimate properties of a population by repeatedly sampling from a given sample dataset. These methods are particularly useful when the underlying distribution of the population is unknown or when analytical solutions are complex to derive. The core idea is to treat the observed sample as a representation of the population and then generate many simulated samples from this observed sample. By analyzing these simulated samples, researchers can infer properties such as the sampling distribution of a statistic, confidence intervals, or the variability of an estimate.
A prominent example of a resampling method is the bootstrap. In bootstrapping, a new sample is created