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 Jan 2022

towardsdatascience.com towardsdatascience.com

Generally, bootstrap involves the following steps:
 A sample from population with sample size n.
 Draw a sample from the original sample data with replacement with size n, and replicate B times, each resampled sample is called a Bootstrap Sample, and there will totally B Bootstrap Samples.
 Evaluate the statistic of θ for each Bootstrap Sample, and there will be totally B estimates of θ.
 Construct a sampling distribution with these B Bootstrap statistics and use it to make further statistical inference, such as:
 Estimating the standard error of statistic for θ.
 Obtaining a Confidence Interval for θ.
