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Nonparametric Method using Placement in an Analysis of a Covariance Model
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 Title & Authors
Nonparametric Method using Placement in an Analysis of a Covariance Model
Hwang, Dong-Min; Kim, Dong-Jae;
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Various methods control the influence of a covariate on a response variable. These methods are analysis of covariance(ANCOVA), RANK ANCOVA, ANOVA of (covariate-adjusted) residuals, and Kruskal-Wallis tests on residuals. Covariate-adjusted residuals are obtained from the overall regression line fit to the entire data set that ignore the treatment levels or factors. It is demonstrated that the methods on covariate-adjusted residuals are only appropriate when the regression lines are parallel and covariate means are equal for all treatments. In this paper, we proposed the new nonparametric method on the ANCOVA model, as applying joint placement in a one-way layout on residuals as described in Chung and Kim (2007). A Monte Carlo simulation study is adapted to compare the power of the proposed procedure with those of the previous procedure.
Analysis of covariance;nonparametric;joint placement;residual;
 Cited by
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