User Guides
===========

In-depth treatments of the bootstrap methods in this library, each
worked through on a concrete example. The first five guides cover
the core inferential machinery on small datasets from [ET93]_; the
remaining guides describe specialized recipes — the *zero-inflated
bootstrap* for severely zero-inflated data, and a resampling-free
recipe for bootstrap quantile inference at web scale. The guides are
self-contained and may be read in any order.

.. toctree::
   :maxdepth: 1

   standard_errors
   confidence_intervals
   prediction
   bias
   significance
   zero_inflated
   quantiles_at_scale