Error structure and identification condition in maximum likelihood nonmetric multidimensional scaling

DOI10.1016/S0377-2217(98)00146-5zbMath0939.91109OpenAlexW2078650471MaRDI QIDQ1806805

Makoto Abe

Publication date: 12 July 2000

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0377-2217(98)00146-5

zbMATH Keywords

maximum likelihood estimationmultidimensional scalinglogit model

Mathematics Subject Classification ID

Stochastic models in economics (91B70) Statistical methods; economic indices and measures (91B82)

Related Items (1)

Estimating the city-block two-dimensional scaling model with simulated annealing

Cites Work

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• Multidimensional successive categories scaling: a maximum likelihood method
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• Confidence regions for multidimensional scaling analysis
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• Analysis of individual differences in multidimensional scaling via an \(n\)-way generalization of ``Eckart-Young decomposition
• A general nonmetric technique for finding the smallest coordinate space for a configuration of points
• Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis
• Multidimensional scaling. I: Theory and method
• High-Dimensional Multivariate Probit Analysis

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