Deriving ultrametric tree structures from proximity data confounded by differential stimulus familiarity

DOI10.1007/BF02294391zbMath0830.62098OpenAlexW1964286902MaRDI QIDQ1901365

Rabikar Chatterjee, Ju Young Kim, Wayne S. Desarbo

Publication date: 11 December 1995

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02294391

zbMATH Keywords

Monte Carlohierarchical clusteringgoodness-of-fitproximity dataconsumer psychologyconditional alternating maximum likelihood procedureestimating ultrametric tree structuresstimulus familiarityTREEFAM procedure

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Statistical tables (62Q05) Applications of statistics to psychology (62P15)

Cites Work

• Model selection and Akaike's information criterion (AIC): The general theory and its analytical extensions
• Maximum likelihood estimation in multidimensional scaling
• Estimating the dimension of a model
• Hierarchical clustering schemes
• The structure and construction of taxonomic hierarchies
• Construction de l'ultramétrique la plus proche d'une dissimilarité au sens des moindres carrés
• A new look at the statistical model identification
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Deriving ultrametric tree structures from proximity data confounded by differential stimulus familiarity