Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Робастная линейная смешанная модель× | Тест перестановок (рандомизация)× | |
|---|---|---|
| Область | Статистика | Статистика |
| Семейство | Regression model | Regression model |
| Год появления≠ | 2016 | 2005 |
| Автор метода≠ | Richardson & Welsh (robust REML); Koller (robustlmm implementation) | Good (2005); Edgington & Onghena (2007); resampling tradition |
| Тип≠ | Robust linear mixed-effects model | Nonparametric resampling test |
| Основополагающий источник≠ | Koller, M. (2016). robustlmm: An R Package for Robust Estimation of Linear Mixed-Effects Models. Journal of Statistical Software, 75(6), 1-24. DOI ↗ | Good, P. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses (3rd ed.). Springer. ISBN: 978-0387202792 |
| Другие названия | robust mixed-effects model, robust linear mixed model, robust LMM, Robust Karma Etkiler Modeli | randomization test, exact permutation test, re-randomization test, Permütasyon Testi |
| Связанные | 5 | 5 |
| Сводка≠ | The robust mixed model is a linear mixed-effects model for panel and repeated-measures data that tolerates outliers and heavy-tailed errors. It replaces the usual likelihood with bounded-influence estimating equations, building on the robust restricted maximum likelihood of Richardson and Welsh (1995) and the robustlmm implementation of Koller (2016). | 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. |
| ScholarGateНабор данных ↗ |
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