Independent, Identical Distributed Data (i.i.d.)

IIDBootstrap is the standard bootstrap that is appropriate for data that is either i.i.d. or at least not serially dependant.

IIDBootstrap(*args[, random_state])

Bootstrap using uniform resampling

Independent Samples

IndependentSamplesBootstrap is a bootstrap that is appropriate for data is totally independent, and where each variable may have a different sample size. This type of data arises naturally in experimental settings, e.g., website A/B testing.

IndependentSamplesBootstrap(*args[, …])

Bootstrap where each input is independently resampled