विधियों की तुलना करें

	फिशर एग्जैक्ट रैंडमाइजेशन इन्फेरेंस	क्रमचय (यादृच्छिकीकरण) परीक्षण
क्षेत्र	सांख्यिकी	सांख्यिकी
परिवार	Regression model	Regression model
उद्भव वर्ष	1935	2005
प्रवर्तक	Ronald A. Fisher	Good (2005); Edgington & Onghena (2007); resampling tradition
प्रकार	Exact permutation-based inference	Nonparametric resampling test
मौलिक स्रोत	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
उपनाम	fisher randomization test, permutation inference, exact randomization test, randomizasyon çıkarımı (fisher exact randomization)	randomization test, exact permutation test, re-randomization test, Permütasyon Testi
संबंधित	5	5
सारांश	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.