Bootstrap Methods: Another Look at the Jackknife by Bradley Efron, 1979 journal article appeared in The Annals of Statistics 7(1), pp. 1–26, in January 1979. The original article's bibliographic cover identifies the author, journal, date and pages.[ref] Stanford's earlier technical report BIO 32, also by Bradley Efron and with the same title, is dated July 1977; that report date is distinct from the journal publication date.[ref]
Bradley Efron Created 2026-10-18 Updated 2026-11-05
Bradley Efron's work connects statistical theory, computation and applications. His bootstrap estimates a statistic's sampling uncertainty by repeatedly sampling from the empirical distribution and recalculating that statistic. For example, resampling the observed data and recomputing a median produces a simulated sampling distribution without requiring a normal population model. Validity still depends on the statistic and sampling setting; the method is not automatically correct for every extreme-value or dependent-data problem.
His bootstrap work has distinct records as a July 1977 Stanford technical report and a January 1979 journal article.[ref][ref] His Stanford profile describes research spanning theoretical statistics, biostatistics and astrophysical applications.[ref]
Figure 1.
Portrait of Bradley Efron at the 2007 National Medal of Science ceremony
. Ryan K. Morris, National Science and Technology Medals Foundation; cropped by Wikimedia user Dudek1337. Public domain, as recorded on Wikimedia Commons. Source usage terms. Source.