The Metalog distribution is a flexible family of probability distributions that can be used to model various types of data. It was introduced by T. H. D. U. Chen et al. in a 2012 paper as a way to provide a more versatile alternative to traditional distributions like the normal, lognormal, or gamma distributions.
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