Resampling Methods: Bootstrap vs jackknife

#artificialintelligence 

Resampling is a way to reuse data to generate new, hypothetical samples (called resamples) that are representative of an underlying population. Two popular tools are the bootstrap and jackknife. Although they have many similarities (e.g. they both can estimate precision for an estimator θ), they do have a few notable differences. Bootstrapping is the most popular resampling method today. It uses sampling with replacement to estimate the sampling distribution for a desired estimator.