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多条回归线平行性秩得分检验的小样本比较AI 解读

The small-sample behavior of rank score tests due to Adichie and to Sen is compared to the classical parametric F test for parallelism of regression lines. Empirical power functions generated by a series of Monte Carlo simulations reveal that the nonparametric tests are consistently conservative relative to the classical test and suggest that, within the confines of the experimental distributions, the parametric test is the preferred small-sample test for parallelism.

多条回归线平行性秩得分检验的小样本比较AI 解读

The small-sample behavior of rank score tests due to Adichie and to Sen is compared to the classical parametric F test for parallelism of regression lines. Empirical power functions generated by a series of Monte Carlo simulations reveal that the nonparametric tests are consistently conservative relative to the classical test and suggest that, within the confines of the experimental distributions, the parametric test is the preferred small-sample test for parallelism.