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Two Powerful Tests for Normality

机译:两项功能强大的正常测试

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In this paper, two powerful tests for normality are proposed based on the Noughabi's entropy estimator (J Stat Comput Simul 80:1151-1162,2010). The power values of the proposed tests are computed and compared with the most popular normality test i.e., Shapiro-Wilk's test. According to (Judge et al. in The theory and practice of econometrics, Wiley, New York, 1980) the Shapiro-Wilk statistic has become the most popular normality test because of its performance in Monte Carlo simulations. Moreover, the Shapiro-Wilks test is one of the tests used in S AS software for testing normality. Finally, some illustrative examples are presented and analyzed.
机译:本文基于Noughabi的熵估计量(J Stat Comput Simul 80:1151-1162,2010),提出了两个强大的正态性检验。计算建议的测试的功效值,并将其与最流行的正态性测试(即Shapiro-Wilk的测试)进行比较。根据(Judge等人,《计量经济学的理论与实践》,纽约,威利,1980年),由于Shapiro-Wilk统计量在蒙特卡洛模拟中的性能,已成为最受欢迎的正态性检验。此外,Shapiro-Wilks测试是S AS软件中用于测试正常性的测试之一。最后,提出并分析了一些说明性的例子。

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