Bootstrap Methods for AB Testing
Classical and Poisson bootstrap as non-parametric tools for normalizing skewed metrics and enabling valid T-tests on small samples
Non-Parametric
Bucketing: Variance Reduction and Faster AB Tests
How aggregating observations into buckets normalises skewed metrics, reduces variance, and cuts computation — with a probability proof for choosing the right bucket count