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http://dx.doi.org/10.5351/KJAS.2013.26.6.1009

Parallelism Test of Slope in a Several Simple Linear Regression Model based on a Sequential Slope  

Kim, Juhie (Department of Biostatistics, The Catholic University of Korea)
Kim, Dongjae (Department of Biostatistics, The Catholic University of Korea)
Publication Information
The Korean Journal of Applied Statistics / v.26, no.6, 2013 , pp. 1009-1018 More about this Journal
Abstract
Regression analysis is useful to understand the relationship of variables; however, we need to test if the slope of each regression lines is the same when comparing several populations. This paper suggests a new parallelism test for several linear regression lines. We use F-test of ANOVA and Kruskal-Wallis (1952) tests after obtaining slope estimator from a sequential slope. In addition, a Monte Carlo simulation study is adapted to compare the power of the proposed methods with those of Park and Kim (2009).
Keywords
Regression Model; parallelism Test; sequential slope;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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