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The Bootstrap Method

In: Fundamentals of Statistical Inference

Author

Listed:
  • Konstantin M. Zuev

    (California Institute of Technology, Department of Computing and Mathematical Sciences)

Abstract

In this chapter, we will learn how to estimate the standard error of an estimate and how to construct confidence intervals for a parameter of interest. Both problems can be solved by the bootstrap method, which was inspired by the jackknife. The bootstrap, introduced in 1979 by Bradley Efron, is a general simulation-based method for measuring the uncertainty of estimates, in particular, for estimating their standard errors and constructing confidence intervals. Its beauty lies in its simplicity and universality: the bootstrap is fully automatic, requires no theoretical calculations, and is always available.

Suggested Citation

  • Konstantin M. Zuev, 2026. "The Bootstrap Method," International Series in Operations Research & Management Science, in: Fundamentals of Statistical Inference, chapter 6, pages 115-129, Springer.
    • Handle: RePEc:spr:isochp:978-3-032-03848-7_6
    DOI: 10.1007/978-3-032-03848-7_6
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