A comparison of nonparametric analysis of covariance techniques

Abstract

A small sample Monte Carlo simulation provides the means of comparison for several nonparametric alternatives to the standard analysis of covariance. A completely ran-domized design with samples from K populations and one co-variate is used for this study. The simulation evaluates the robustness of the techniques as well as the power to detect differences among the populations. The study indi-cates that a modification of existing nonparametric proce-dures yields a test that performs well in many situations