Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Correlação de Spearman Robusta× | Coeficiente de Correlação de Postos de Spearman× | |
|---|---|---|
| Área | Estatística | Estatística |
| Família | Hypothesis test | Hypothesis test |
| Ano de origem≠ | 1990s–2000s | 1904 |
| Autor original≠ | Rand R. Wilcox (robust extensions); Charles Spearman (base method, 1904) | Charles Spearman |
| Tipo≠ | Robust nonparametric correlation | Nonparametric rank-based correlation |
| Fonte seminal≠ | Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838 | Spearman, C. (1904). The proof and measurement of association between two things. The American Journal of Psychology, 15, 72–101. DOI ↗ |
| Outros nomes≠ | Winsorized Spearman correlation, robust rank correlation, trimmed Spearman correlation, outlier-resistant Spearman | Spearman's rho, Spearman rank-order correlation, Spearman Sıra Korelasyonu |
| Relacionados≠ | 5 | 4 |
| Resumo≠ | Robust Spearman correlation is an outlier-resistant measure of monotonic association between two variables. It applies robustification strategies — such as Winsorizing extreme ranks or using the percentage-bend approach — to protect Spearman's rho against distortion from outliers or heavy-tailed distributions, while retaining its nonparametric rank-based character. | The Spearman rank correlation coefficient (ρ) is a nonparametric measure of the monotonic association between two variables. Introduced by Charles Spearman in 1904, it converts raw observations to ranks and measures how consistently one variable increases as the other increases, without assuming a normal distribution or a linear relationship. |
| ScholarGateConjunto de dados ↗ |
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