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Utilizing a Quantile Function Approach to Obtain Exact Bootstrap Solutions

  • Indiana University-Purdue University Indianapolis

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

The popularity of the bootstrap is due in part to its wide applicability and the ease of implementing resampling procedures on modern computers. But careful reading of Efron (1979) will show that at its heart, the bootstrap is a "plug-in" procedure that involves calculating a functional θ(F̂) from an estimate of the c.d.f. F. Resampling becomes invaluable when, as is often the case, θ(F̂) cannot be calculated explicitly. We discuss some situations where working with the sample quantile function, Q̂, rather than F̂, can lead to explicit (exact) solutions to θ(F̂).

Original languageEnglish
Pages (from-to)231-240
Number of pages10
JournalStatistical Science
Volume18
Issue number2
DOIs
StatePublished - May 2003

Keywords

  • Censored data
  • Confidence band
  • L-estimator
  • Monte Carlo
  • Order statistics

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