Introduction to Bootstrapping in Statistics with an Example - Statistics By Jim

Bootstrapping is a statistical method that resamples a dataset many times. Learn about this alternate method for confidence intervals and hypothesis tests.

Introduction to Bootstrapping in Data Science — part 1, by Alejandro Rodríguez

Bootstrapping Statistics. What it is and why it's used.

Introduction to Bootstrap and elements of Markov Chains

Bootstrapping using Python and R. Estimating a sampling distribution…, by Michael Grogan

Bootstrapping in JMP 15 - JMP User Community

Calculating Confidence Intervals with Bootstrapping, by Barış Hasdemir

Two Resampling Approaches to Assess a Model: Cross-validation and Bootstrap, by SangGyu An, CodeX

Introduction to Bootstrapping in Data Science — part 1, by Alejandro Rodríguez

An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics): 9781071614204: James, Gareth, Witten, Daniela, Hastie, Trevor, Tibshirani, Robert: Books