Comparing approaches for testing the number of components in a finite mixture model
type: Item
instance of: scholarly article
title: Comparing approaches for testing the number of components in a finite mixture model
zbMATH Open document ID: 0940.62043
published in: Computational Statistics
publication date: 2000-03-02T00:00:00Z
review text: The results of numerical experiments for comparing five different procedures for testing the number \(k\) of components of finite mixture models are presented. The following approaches are considered: Orlov's nested tests, Wolf's approach, Aitkin-Rubin's approach, SEM algorithm and McLachan's Monte-Carlo test. The author considers the case of a mixture model of two Gaussian components and tested \(k=1\) against \(k=2\).
Mathematics Subject Classification ID: 62G10
Mathematics Subject Classification ID: 62-08
Mathematics Subject Classification ID: 65C05
zbMATH DE Number: 1409670
zbMATH Keywords: mixture models
zbMATH Keywords: likelihood ratio tests
zbMATH Keywords: prior distributions
author: Gilda Soromenho
reviewed by: Aleksandr D. Borisenko
MaRDI profile type: Publication
description: scientific article; zbMATH DE number 1409670