General Introduction
Geoffrey John McLachlan, David Alan Peel · Wiley series in probability and statistics · 2000
This chapter contains sections titled: Introduction Overview of Book Basic Definition Interpretation of Mixture Models Shapes of Some Univariate Normal Mixtures Modeling of Asymmetrical Data Normal Scale Mixture Model Spurious Clusters Incomplete-Data Structure of Mixture Problem Sampling Designs for Classified Data Parametric Formulation of Mixture Model Nonparametric ML Estimation of a Mixing Distribution Estimation of Mixture Distributions Identifiability of Mixture Distributions Clustering of Data via Mixture Models Hidden Markov Models Testing for the Number of Components in Mixture Models Brief History of Finite Mixture Models Notation