Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Байєсів критерій хі-квадрат× | Байєсівський точний тест Фішера× | |
|---|---|---|
| Галузь | Статистика | Статистика |
| Родина | Hypothesis test | Hypothesis test |
| Рік появи≠ | 1967 | 1974 (Bayesian form); 1935 (Fisher's exact test) |
| Автор методу≠ | I. J. Good; extended by Gunel, Dickey, and Wagenmakers et al. | Gunel & Dickey (Bayesian form); R. A. Fisher (classical exact test) |
| Тип≠ | Bayesian nonparametric association test | Bayesian hypothesis test for independence |
| Основоположне джерело≠ | Good, I. J. (1967). A Bayesian significance test for multinomial distributions. Journal of the Royal Statistical Society: Series B (Methodological), 29(3), 399–418. DOI ↗ | Gunel, E., & Dickey, J. (1974). Bayes factors for independence in contingency tables. Biometrika, 61(3), 545–557. DOI ↗ |
| Інші назви | Bayesian contingency table test, Bayes factor chi-square, Bayesian goodness-of-fit test, Bayesian association test | Bayesian exact test for independence, Bayesian contingency table test, Bayes factor Fisher test, BFexact |
| Пов'язані≠ | 3 | 4 |
| Підсумок≠ | The Bayesian chi-square test evaluates independence or goodness-of-fit in frequency tables using Bayes factors rather than classical p-values. It quantifies evidence for or against an association between categorical variables, updating prior beliefs with observed counts and delivering an odds-like ratio that distinguishes 'no evidence' from 'evidence of no effect'. | 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. |
| ScholarGateНабір даних ↗ |
|
|