A comparison of the \(L_2\) minimum distance estimator and the EM-algorithm when fitting \(k\)-component univariate normal mixtures
type: Item
instance of: scholarly article
title: A comparison of the \(L_2\) minimum distance estimator and the EM-algorithm when fitting \(k\)-component univariate normal mixtures
zbMATH Open document ID: 1416.62148
author: B. R. Clarke
author: Thomas Davidson
author: Robert Hammarstrand
published in: Statistical Papers
publication date: 2017-12-13T00:00:00Z
Mathematics Subject Classification ID: 62F10
Mathematics Subject Classification ID: 62H30
zbMATH DE Number: 6818224
zbMATH Keywords: EM algorithm
zbMATH Keywords: minimum distance estimation
zbMATH Keywords: robust estimation
zbMATH Keywords: Monte Carlo simulation
describes a project that uses: EMMIX-skew
describes a project that uses: mixtools
describes a project that uses: EMMIX
describes a project that uses: Emmixuskew
describes a project that uses: R
describes a project that uses: nleqslv
MaRDI profile type: Publication
full work available at URL: s00362-016-0747-x
OpenAlex ID: W2461722470
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DOI: 10.1007/S00362-016-0747-X
description: scientific article; zbMATH DE number 6818224