ScholarGate
Assistent

Jämför metoder

Granska de valda metoderna sida vid sida; rader som skiljer sig är markerade.

BCa Bootstrap (bias-korrigerad och accelererad)×Permutationstest (Randomiseringstest)×
ÄmnesområdeStatistikStatistik
FamiljRegression modelRegression model
Ursprungsår19872005
UpphovspersonBradley EfronGood (2005); Edgington & Onghena (2007); resampling tradition
TypResampling confidence intervalNonparametric resampling test
UrsprungskällaEfron, B. (1987). Better Bootstrap Confidence Intervals. Journal of the American Statistical Association, 82(397), 171-185. DOI ↗Good, P. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses (3rd ed.). Springer. ISBN: 978-0387202792
AliasBCa Bootstrap (Bias-Corrected Accelerated), bias-corrected accelerated bootstrap, BCa confidence intervalrandomization test, exact permutation test, re-randomization test, Permütasyon Testi
Närliggande55
SammanfattningThe BCa bootstrap is a resampling method, introduced by Bradley Efron in 1987, that produces more accurate confidence intervals than the plain percentile bootstrap by applying a bias correction and an acceleration adjustment. It is recommended for skewed distributions and small samples.The permutation test is a nonparametric resampling procedure that builds the sampling distribution of a test statistic directly from the data by repeatedly shuffling the group labels. Developed in the resampling tradition and treated systematically by Good (2005) and Edgington & Onghena (2007), it requires no parametric distributional assumption and yields an exact p-value.
ScholarGateDatamängd
  1. v1
  2. 2 Källor
  3. PUBLISHED
  1. v1
  2. 2 Källor
  3. PUBLISHED

Gå till sökningen Ladda ner bildspel

ScholarGateJämför metoder: BCa Bootstrap · Permutation Test. Hämtad 2026-06-15 från https://scholargate.app/sv/compare