手法を比較

	フィッシャーの正確確率検定（Fisher Exact Randomization Inference）	順列検定（ランダム化検定）
分野	統計学	統計学
系統	Regression model	Regression model
提唱年	1935	2005
提唱者	Ronald A. Fisher	Good (2005); Edgington & Onghena (2007); resampling tradition
種類	Exact permutation-based inference	Nonparametric resampling test
原典	Fisher, R. A. (1935). The Design of Experiments. Oliver & Boyd.	Good, P. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses (3rd ed.). Springer. ISBN: 978-0387202792
別名	fisher randomization test, permutation inference, exact randomization test, randomizasyon çıkarımı (fisher exact randomization)	randomization test, exact permutation test, re-randomization test, Permütasyon Testi
関連	5	5
概要	Randomization 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.	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.