The process of sampling from the observations in a sample, in order to obtain estimates and confidence intervals for population parameters without making assumptions about the form of the population distribution. Suppose that we have taken a random sample of n observations, and assume, for simplicity, that all the sample values x1, x2,..., xn are different. If we have no other information about the population then the obvious estimate of the population mean, μ, is the sample mean x̄. This is not contentious. However, it is equally true that an unbiased estimate of the probability of the value xj is 1/n. In a sense the sample is a surrogate for the population — if we want to know what other samples from the population might have looked like, we can find out by sampling from the sample. This is the process called resampling.
As an example, suppose that we wish to estimate the median of a distribution. We take ten observations and obtain the values




