A Method for Discriminating Between Models Describing Compositional Data
针对成分数据，过去只能用狄利克雷分布，现在有了更灵活的Logistic正态分布。本文提出一种概念简单、计算简便的方法来区分这两类分布，避免繁琐计算。
Until-recently, only the Dirichlet class of distributions was available to describe compositional data, but now there is an alternative more flexible class of logistic normal distributions. To choose between these two classes requires methods for testing separate families of distributions, but application of the methods described in the literature involves extremely tedious calculation. In this paper, a conceptually straightforward and computationally simpler method is introduced and illustrated.