A maximum likelihood method for an asymmetric MDS model

DOI10.1016/j.csda.2008.03.011zbMath1452.62119OpenAlexW2143412085MaRDI QIDQ1023823

N. Chino, Shun Saburi

Publication date: 16 June 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2008.03.011

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Point estimation (62F10) Applications of statistics to psychology (62P15) One- and multidimensional scaling in the social and behavioral sciences (91C15)

Related Items (1)

Methods for the analysis of asymmetric pairwise relationships

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Mathematical models of recognition and confusion in psychology
• Some small sample results for maximum likelihood estimation in multidimensional scaling
• Monotonic models for asymmetric proximities
• Multidimensional successive categories scaling: a maximum likelihood method
• Estimating the dimension of a model
• Tests of symmetry in three-way contingency tables
• A generalization of GIPSCAL for the analysis of nonsymmetric data
• Asymmetric multidimensional scaling of two-mode three-way proximities
• Reduction of asymmetry by rank-one matrices
• The analysis of cross-classified data having ordered and/or unordered categories: Association models, correlation models, and asymmetry models for contingency tables with or without missing entries
• Graphical representations and odds ratios in a distance-association model for the analysis of cross-classified data
• Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis
• Nonmetric multidimensional scaling. A numerical method
• A TEST FOR HOMOGENEITY OF THE MARGINAL DISTRIBUTIONS IN A TWO-WAY CLASSIFICATION
• Can the strengths of AIC and BIC be shared? A conflict between model indentification and regression estimation
• Graphical Representation of Asymmetric Matrices
• Models for asymmetric proximities
• Contribution à l'analyse statistique des tableaux de corrélation
• The Analysis of Cross-Classified Data: Independence, Quasi-Independence, and Interactions in Contingency Tables with or Without Missing Entries
• A Test for Symmetry in Contingency Tables
• Tests of Statistical Hypotheses Concerning Several Parameters When the Number of Observations is Large

This page was built for publication: A maximum likelihood method for an asymmetric MDS model