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| الاستدلال العشوائي الدقيق لفيشر (Fisher Exact Randomization Inference)× | الاستدلال بالتمهيد× | |
|---|---|---|
| المجال | الإحصاء | الإحصاء |
| العائلة | Regression model | Regression model |
| سنة النشأة≠ | 1935 | 1979 |
| صاحب الطريقة≠ | Ronald A. Fisher | Bradley Efron |
| النوع≠ | Exact permutation-based inference | Resampling-based inference |
| المصدر التأسيسي≠ | Fisher, 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 ↗ |
| الأسماء البديلة | fisher randomization test, permutation inference, exact randomization test, randomizasyon çıkarımı (fisher exact randomization) | bootstrap, bootstrap resampling, nonparametric bootstrap, Bootstrap Çıkarımı |
| ذات صلة | 5 | 5 |
| الملخص≠ | 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. | 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. |
| ScholarGateمجموعة البيانات ↗ |
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