Lemmens P H, Tan E S, Knibbe R A
Netherlands Organization for Scientific Research (NWO), Maastricht.
Br J Addict. 1990 Jun;85(6):751-8. doi: 10.1111/j.1360-0443.1990.tb01687.x.
Parametric approaches to the problem of the distribution of alcohol consumption have not been very successful. In this article, it is shown that regulatory in distribution can be studied without making assumptions about a distribution model underlying the data. For this purpose, a method is used with which distributions are compared graphically in so-called probability plots. It appears that, up to a proper linear transformation on a logarithmic scale, a surprisingly large regularity over time can be observed between distributions taken from Dutch samples in 1970, 1981 and 1985. Equally, distributions from male and female sub-samples do not appear to differ up to a linear shift. The finding of a relative equality in distributional form is in accordance with the Ledermann model. However, the difference with the Ledermann's model is that no assumptions about the exact shape of the distributions are being made.
针对酒精消费分布问题的参数方法并不是很成功。本文表明，在不假设数据背后的分布模型的情况下，可以研究分布中的规律性。为此，使用了一种方法，通过所谓的概率图以图形方式比较分布。结果表明，在对数尺度上进行适当的线性变换后，可以观察到1970年、1981年和1985年荷兰样本的分布之间随着时间有惊人的规律。同样，男性和女性子样本的分布在经过线性变换后似乎没有差异。分布形式相对平等的发现与莱德曼模型一致。然而，与莱德曼模型的不同之处在于，没有对分布的确切形状做出假设。
