Mixture Distributions – Further Developments
Geoffrey John McLachlan · Wiley StatsRef: Statistics Reference Online · 2016
Abstract Finite mixtures of distributions have provided a mathematical‐based approach to the statistical modeling of a wide variety of random phenomena. They underpin a variety of techniques in major areas of statistics, including cluster and latent class analyses, discriminant analysis, image analysis, and survival analysis, in addition to their more direct role in data analysis and inference of providing descriptive models for complex and/or heterogeneous distributions. We provide an update here on recent developments on mixture distributions and their applications.