Sampling
Overview
Resampling is a technique for performing
statistical inference
of the measures of a sample of a dataset when the underlying distribution is unknown, or it is impractical to
compute.
Resampling generates a number of new datasets from the original sample by randomly sampling from the dataset.
Next, the statistic of interest is computed from the new datasets. A measure of the dispersion of the measured
statistic, such as standard deviation, is computed from the new measures. This dispersion measure is then
used to perform inference of the statistic.
Topics
