bootstrap

(noun)

any method or instance of estimating properties of an estimator (such as its variance) by measuring those properties when sampling from an approximating distribution

Related Terms

Examples of bootstrap in the following topics:

  • Single-Population Inferences

    • Bootstrapping is a method for assigning measures of accuracy to sample estimates.
    • Bootstrapping may also be used for constructing hypothesis tests.
    • The simplest bootstrap method involves taking the original data set of $N$ heights, and, using a computer, sampling from it to form a new sample (called a 'resample' or bootstrap sample) that is also of size $N$.
    • We now have a histogram of bootstrap means.
    • A great advantage of bootstrap is its simplicity.

  • Distribution-Free Tests

  • Interpreting a Confidence Interval

    • Bootstrapping - In situations where the distributional assumptions for the above methods are uncertain or violated, resampling methods allow construction of confidence intervals or prediction intervals.