Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Teste de Friedman× | Teste de Permutação (Randomização)× | |
|---|---|---|
| Área | Estatística | Estatística |
| Família≠ | Hypothesis test | Regression model |
| Ano de origem≠ | 1937 | 2005 |
| Autor original≠ | Milton Friedman | Good (2005); Edgington & Onghena (2007); resampling tradition |
| Tipo≠ | Nonparametric repeated-measures comparison (by ranks) | Nonparametric resampling test |
| Fonte seminal≠ | Friedman, M. (1937). The use of ranks to avoid the assumption of normality implicit in the analysis of variance. Journal of the American Statistical Association, 32(200), 675–701. DOI ↗ | Good, P. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses (3rd ed.). Springer. ISBN: 978-0387202792 |
| Outros nomes≠ | Friedman two-way analysis of variance by ranks, Friedman rank test, Friedman Testi | randomization test, exact permutation test, re-randomization test, Permütasyon Testi |
| Relacionados≠ | 2 | 5 |
| Resumo≠ | The Friedman test is a nonparametric hypothesis test that compares three or more related conditions measured on the same blocks or subjects, serving as the rank-based alternative to repeated-measures ANOVA. It was introduced by Milton Friedman in 1937 and works on ordinal or continuous data without assuming normality. | 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. |
| ScholarGateConjunto de dados ↗ |
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