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http://dx.doi.org/10.5351/KJAS.2002.15.2.415

More Powerful Test for Normality Based on the Normalized Sample Lorenz Curve  

강석복 (영남대학교 통계학과)
조영석 (밀양대학교 산업경제학과)
Publication Information
The Korean Journal of Applied Statistics / v.15, no.2, 2002 , pp. 415-421 More about this Journal
Abstract
Because most common assumption is normality in statistical analysis, testing normality is very important. We propose a new plot and test statistic to test for normality based on the modified Lorenz curve that is proved to be a powerful tool to measure the income inequality within a population of income receivers. We also compare the proposed test statistics with the W test (Shapiro and Wilk (1965)), TL test (Kang and Cho (1999)) in terms of the power of test through by Monte Carlo method. The proposed test is more usually powerful than the other tests except some case.
Keywords
Power; Sample Lorenz curve; Test of normality;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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