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Linganisha mbinu

Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.

Kujipiga Buti Maradufu (Kurudiwa)×Bayesian Bootstrap (Rubin)×
NyanjaTakwimuTakwimu
FamiliaRegression modelRegression model
Mwaka wa asili19861981
MwanzilishiHall (1986); Beran (1987)Rubin (1981); large-sample theory by Lo (1987)
AinaResampling calibration (nested bootstrap)Resampling / posterior simulation
Chanzo asiliaHall, P. (1986). On the Bootstrap and Confidence Intervals. Annals of Statistics, 14(4), 1431-1452. DOI ↗Rubin, D. B. (1981). The Bayesian Bootstrap. The Annals of Statistics, 9(1), 130-134. DOI ↗
Majina mbadalaiterated bootstrap, nested bootstrap, calibrated bootstrap, Çift Bootstrap (Double / Iterated Bootstrap)Bayesian Bootstrap (Rubin), Rubin bootstrap, Dirichlet-weighted bootstrap
Zinazohusiana55
MuhtasariThe double bootstrap is a resampling method that calibrates a bootstrap confidence interval with a second, nested layer of bootstrap to bring its actual coverage closer to the nominal level. Introduced by Hall (1986) and Beran (1987), it is especially valuable for small samples and skewed distributions where a single-layer bootstrap under-covers.The Bayesian Bootstrap, introduced by Donald B. Rubin in 1981, is a resampling method that produces a Bayesian counterpart to the frequentist bootstrap by assigning each observation a random weight drawn from a Dirichlet distribution. It yields a full posterior distribution for a statistic and allows prior information to be incorporated.
ScholarGateSeti ya data
  1. v1
  2. 2 Vyanzo
  3. PUBLISHED
  1. v1
  2. 2 Vyanzo
  3. PUBLISHED

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ScholarGateLinganisha mbinu: Double Bootstrap · Bayesian Bootstrap. Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/compare