AI engineering glossary · Statistics inference
What is resampling?
Resampling: A family of techniques that repeatedly draw new samples from the observed data to study the behaviour of a statistic, without relying on formulas that assume a specific distribution. Bootstrap, permutation and jackknife methods belong here.
Resampling: an example
Shuffling group labels 5,000 times to see how often chance alone produces a gap as large as the observed one.
Related terms
More Statistics inference terms
- Sample ratio mismatch
- Sampling distribution
- Sequential testing
- Significance level
- Spearman rank correlation
- Standard error of the mean
- Statistic
- Statistical power
Where you learn it
Resampling is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.