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http://dx.doi.org/10.5351/KJAS.2017.30.3.427

Nonparametric method using linear statistics in analysis of covariance model  

Choi, Yoonjung (Department of Biomedicine.Health Science, The Catholic University of Korea)
Kim, Dongjae (Department of Biomedicine.Health Science, The Catholic University of Korea)
Publication Information
The Korean Journal of Applied Statistics / v.30, no.3, 2017 , pp. 427-439 More about this Journal
Abstract
Quade (1967) proposed RANK ANCOVA, which is a nonparametric method to test differences between treatments when there are covariates. Hwang and Kim (2012) also proposed a joint placement test on covariate-adjusted residuals. In this paper, we proposed a new nonparametric method to control the effect of covariate on a response variable that uses linear statistics on covariate adjusted-residuals. The score function used in the linear statistics was proposed by Jeon and Kim (2016). Monte Carlo simulation is also conducted to compare the empirical powers of the proposed method with previous methods.
Keywords
analysis of covariance; nonparametric method; covariate adjusted-residuals; linear statistics;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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