Estimation of principal points for a multivariate binary distribution using a log-linear model

DOI10.1080/03610918.2014.992541zbMath1362.62131OpenAlexW2002573784MaRDI QIDQ2974918

Haruka Yamashita, Hideo Suzuki, Shun Matsuura

Publication date: 11 April 2017

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2014.992541

zbMATH Keywords

maximum likelihood estimationmultinomial distributionprincipal pointslog-linear modelmultivariate binary distribution

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Point estimation (62F10)

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Optimal principal points estimators of multivariate distributions of location-scale and location-scale-rotation families ⋮ High precision numerical computation of principal points for univariate distributions

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