Fisher Exact Randomization Inference
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.
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Avoti
- Fisher, R. A. (1935). The Design of Experiments. Oliver & Boyd. link ↗
- Imbens, G. W. & Rubin, D. B. (2015). Causal Inference for Statistics, Social, and Biomedical Sciences. Cambridge University Press. ISBN: 978-0521885881
Kā citēt šo lapu
ScholarGate. (2026, June 1). Fisher Exact Randomization Inference. ScholarGate. https://scholargate.app/lv/statistics/randomization-inference
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- Parastā mazāko kvadrātu (OLS) regresijaEkonometrija↔ compare
- Permutācijas (randomizācijas) testsStatistika↔ compare
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