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Fisher Exact Randomization Inference×Bootstrap-inferens×
FagområdeStatistikStatistik
FamilieRegression modelRegression model
Oprindelsesår19351979
OphavspersonRonald A. FisherBradley Efron
TypeExact permutation-based inferenceResampling-based inference
Oprindelig kildeFisher, R. A. (1935). The Design of Experiments. Oliver & Boyd. link ↗Efron, B. (1979). Bootstrap Methods: Another Look at the Jackknife. Annals of Statistics, 7(1), 1-26. DOI ↗
Aliasserfisher randomization test, permutation inference, exact randomization test, randomizasyon çıkarımı (fisher exact randomization)bootstrap, bootstrap resampling, nonparametric bootstrap, Bootstrap Çıkarımı
Relaterede55
ResuméRandomization inference, introduced by Ronald A. Fisher in The Design of Experiments (1935), computes an exact p-value by evaluating a test statistic across all possible treatment assignments under Fisher's sharp null hypothesis. It is regarded as the gold standard for analysing designed experiments because its validity rests on the known assignment mechanism rather than on distributional assumptions.Bootstrap inference, introduced by Bradley Efron in 1979, estimates the sampling distribution of a statistic by repeatedly resampling the observed data with replacement. It requires no distributional assumption and produces reliable confidence intervals even in small samples.
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ScholarGateSammenlign metoder: Randomization Inference · Bootstrap Inference. Hentet 2026-06-15 fra https://scholargate.app/da/compare