Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Trimmed Mean Test (Yuen's Test)× | Permutācijas (randomizācijas) tests× | |
|---|---|---|
| Nozare | Statistika | Statistika |
| Saime | Regression model | Regression model |
| Izcelsmes gads≠ | 1974 | 2005 |
| Autors≠ | Karen K. Yuen | Good (2005); Edgington & Onghena (2007); resampling tradition |
| Tips≠ | Robust two-group comparison | Nonparametric resampling test |
| Pirmavots≠ | Yuen, K. K. (1974). The Two-Sample Trimmed t for Unequal Population Variances. Biometrika, 61(1), 165-170. DOI ↗ | Good, P. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses (3rd ed.). Springer. ISBN: 978-0387202792 |
| Citi nosaukumi | Yuen's test, Yuen-Welch test, robust mean comparison, kırpılmış ortalama testi | randomization test, exact permutation test, re-randomization test, Permütasyon Testi |
| Saistītās≠ | 4 | 5 |
| Kopsavilkums≠ | The trimmed mean test compares two groups using trimmed means, which discard a fixed proportion of the most extreme observations in each tail before averaging. Introduced by Karen K. Yuen in 1974, it is a robust alternative to the classical t-test when the data are non-normal or contain outliers and the population variances are unequal. | 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. |
| ScholarGateDatu kopa ↗ |
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