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Everitt, B.S. (1981) A Monte Carlo Investigation of the Likelihood Ratio Test for the Number of Components in a Mixture of Normal Distributions. Multivariate Behavioral Research, 16, 171-180.
https://doi.org/10.1207/s15327906mbr1602_3

has been cited by the following article:

• TITLE: Estimating the Components of a Mixture of Extremal Distributions under Strong Dependence

  AUTHORS: Carolina Crisci, Gonzalo Perera, Lia Sampognaro

  KEYWORDS: Mixture of Extremal Distributions, Strongly Dependent Data

  JOURNAL NAME: Advances in Pure Mathematics, Vol.13 No.7, July 12, 2023

  ABSTRACT: In this paper, we provide a method based on quantiles to estimate the parameters of a finite mixture of Fréchet distributions, for a large sample of strongly dependent data. This is a situation that appears when dealing with environmental data and there was a real need of such method. We validate our approach by means of estimation and goodness-of-fit testing over simulated data, showing an accurate performance.