A least squares algorithm for a mixture model for compositional data.
type: Item
instance of: scholarly article
title: A least squares algorithm for a mixture model for compositional data.
zbMATH Open document ID: 1042.62519
DOI: 10.1016/S0167-9473(98)00098-X
author: Ab Mooijaart
author: Peter G. M. van der Heijden
author: L. Andries van der Ark
published in: Computational Statistics and Data Analysis
publication date: 1999-06-20T00:00:00Z
Mathematics Subject Classification ID: 62F10
Mathematics Subject Classification ID: 65C60
zbMATH DE Number: 1305687
zbMATH Keywords: Latent budget model
zbMATH Keywords: End member model
zbMATH Keywords: Mixture model
zbMATH Keywords: Compositional data
zbMATH Keywords: EM algorithm
zbMATH Keywords: Weighted least squares algorithm
MaRDI profile type: Publication
cites work: Q4207468
cites work: Q4868585
cites work: Archetypal Analysis
cites work: A branch and bound algorithm for constrained least squares
cites work: A latent time–budget model
cites work: Q3996446
cites work: Newton-type methods for unconstrained and linearly constrained optimization
cites work: The Resolution of a Compositional Data Set into Mixtures of Fixed Source Compositions
cites work: Simultaneous latent budget analysis of a set of two-way tables with constant-row-sum data
cites work: Q5591247
full work available at URL: s0167-9473(98)00098-x
OpenAlex ID: W2002771056
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description: scientific article; zbMATH DE number 1305687