BootstrapEstimate

This is acrossBootstrapAverage - originalDataEstimate

Each element is the bootstrap estimate for sample i minus originalDataEstimate

An estimate of the mean squared error of the estimator based on bootstrapping. This is the bootstrap bias squared plus the bootstrap estimate of the variance of the estimator

This is the standard deviation of the across bootstrap observations of the estimator for each bootstrap generated

the default confidence interval level

A name for the estimate

The number of bootstrap samples that were used to produce the bootstrap estimate

The sample size of the original data set

Each element is the bootstrap estimate for sample i minus getOriginalDataEstimate() divided by getBootstrapStdErrEstimate()

The "basic" method, but with no bias correction. This is the so-called centered percentile method (2θ − Bu , 2θ − Bl ) where θ is the bootstrap estimator and Bu is the 1 - alpha/2 percentile and Bl is the lower (alpha/2) percentile, where level = 1-alpha of the bootstrap replicates.

The "percentile" method, but with no bias correction. This is the percentile method (Bl , Bu ) where Bu is the 1 - alpha/2 percentile and Bl is the lower (alpha/2) percentile, where level = 1-alpha of the bootstrap replicates

Gets the standard normal based bootstrap confidence interval. Not recommended.