方法对比
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| 贝叶斯费舍尔精确检验× | 费舍尔精确检验× | |
|---|---|---|
| 领域 | 统计学 | 统计学 |
| 方法族 | Hypothesis test | Hypothesis test |
| 起源年份≠ | 1974 (Bayesian form); 1935 (Fisher's exact test) | 1922 |
| 提出者≠ | Gunel & Dickey (Bayesian form); R. A. Fisher (classical exact test) | R. A. Fisher |
| 类型≠ | Bayesian hypothesis test for independence | Exact test of independence for categorical data |
| 开创性文献≠ | Gunel, E., & Dickey, J. (1974). Bayes factors for independence in contingency tables. Biometrika, 61(3), 545–557. DOI ↗ | Fisher, R. A. (1922). On the interpretation of chi-squared from contingency tables, and the calculation of P. Journal of the Royal Statistical Society, 85(1), 87–94. DOI ↗ |
| 别名≠ | Bayesian exact test for independence, Bayesian contingency table test, Bayes factor Fisher test, BFexact | Fisher-Irwin test, exact test of independence, Fisher'ın Kesin Testi |
| 相关≠ | 4 | 2 |
| 摘要≠ | The Bayesian Fisher's exact test evaluates independence between two categorical variables in a 2x2 table by computing a Bayes factor rather than a p-value. Using conjugate priors on cell probabilities — most commonly the Gunel-Dickey framework — it quantifies how much the observed data favor an association model over an independence model, providing a continuous scale of evidence in both directions. | Fisher's exact test is a nonparametric exact-probability test of independence for small-sample contingency tables, introduced by R. A. Fisher in 1922. Rather than relying on a large-sample approximation, it computes the exact probability of the observed table directly from the hypergeometric distribution. |
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