Comparar métodos

	Inferencia de Aleatorización Exacta de Fisher	Prueba de permutación (aleatorización)
Campo	Estadística	Estadística
Familia	Regression model	Regression model
Año de origen	1935	2005
Autor original	Ronald A. Fisher	Good (2005); Edgington & Onghena (2007); resampling tradition
Tipo	Exact permutation-based inference	Nonparametric resampling test
Fuente seminal	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
Alias	fisher randomization test, permutation inference, exact randomization test, randomizasyon çıkarımı (fisher exact randomization)	randomization test, exact permutation test, re-randomization test, Permütasyon Testi
Relacionados	5	5
Resumen	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.