A PROC MATRIX program for preference-dissimilarity multidimensional scaling

DOI10.1007/BF02294010zbMath0587.62195OpenAlexW1992485586MaRDI QIDQ1072324

J. O. Ramsey

Publication date: 1986

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02294010

zbMATH Keywords

maximum likelihood estimationmultidimensional scalingjoint analysis of dissimilarity and preference dataPROC MATRIX codeSAS system

Mathematics Subject Classification ID

Related Items (1)

The adjusted rand statistic: A SAS macro

Uses Software

• SAS
• PROC MATRIX

Cites Work

• Nonmetric individual differences multidimensional scaling: An alternating least squares method with optimal scaling features
• The joint analysis of direct ratings, pairwise preferences, and dissimilarities
• Multidimensional successive categories scaling: a maximum likelihood method
• Maximum likelihood estimation in multidimensional scaling
• Confidence regions for multidimensional scaling analysis
• The analysis of proximities: Multidimensional scaling with an unknown distance function: I, II
• Analysis of individual differences in multidimensional scaling via an \(n\)-way generalization of ``Eckart-Young decomposition
• Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis
• Multidimensional scaling. I: Theory and method
• Some Statistical Approaches to Multidimensional Scaling Data

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