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| 피셔의 정확 무작위화 추론× | 순열 (무작위화) 검정× | |
|---|---|---|
| 분야 | 통계학 | 통계학 |
| 계열 | Regression model | Regression model |
| 기원 연도≠ | 1935 | 2005 |
| 창시자≠ | Ronald A. Fisher | Good (2005); Edgington & Onghena (2007); resampling tradition |
| 유형≠ | Exact permutation-based inference | Nonparametric resampling test |
| 원전≠ | Fisher, R. A. (1935). The Design of Experiments. Oliver & Boyd. link ↗ | Good, P. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses (3rd ed.). Springer. ISBN: 978-0387202792 |
| 별칭 | fisher randomization test, permutation inference, exact randomization test, randomizasyon çıkarımı (fisher exact randomization) | randomization test, exact permutation test, re-randomization test, Permütasyon Testi |
| 관련 | 5 | 5 |
| 요약≠ | 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. |
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