This paper contributes to the debate on Benford's law testing by proposing a method to overcome the "excess power problem" critique, so widespread in this literature. In particular we suggest using the notion of severity testing (Mayo & Spanos, 2006) in the framework of tests for conformity with Benford's law. To do so, we also derive the asymptotic distribution of Nigrini's mean absolute deviation statistic (MAD, Nigrini, 2012) and an asymptotic standard normal test. Finally, the severity testing principle is applied to six controversial data sets to assess their "Benford-ness".
翻译:本文为关于本福德法律测试的辩论做出了贡献,提出了一种方法来克服本文献中如此广泛的“超强权力问题”批评。 特别是,我们建议,在测试框架范围内使用重度测试的概念(Mayo & Spanos, 2006年),以达到本福德的法律要求。 为此,我们还得出了Nigrini的绝对偏差平均值统计数据(MAD, Nigrini, 2012年)的无症状分布和无症状标准正常测试。 最后,重度测试原则适用于六个有争议的数据集,以评估其“ 本福德性 ” 。