A New Method for Statistical Multidimensional Unfolding

DOI10.1080/03610920500313676zbMath1076.62057OpenAlexW1981037666MaRDI QIDQ5712005

Melvin J. Hinich

Publication date: 22 December 2005

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610920500313676

zbMATH Keywords

least squaresbootstrappingmultidimensional unfoldingmaximum likelihood factor analysisspatial theory

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Estimation in multivariate analysis (62H12) Applications of statistics to social sciences (62P25) Applications of statistics to psychology (62P15)

Related Items

Unnamed Item

Cites Work

• Unnamed Item
• The asymptotic normal distribution of estimators in factor analysis under general conditions
• Modern multidimensional scaling: theory and applications
• Some contributions to maximum likelihood factor analysis
• On metric multidimensional unfolding
• Multidimensional scaling. I: Theory and method
• A method for locating targets using range only
• A RAPIDLY CONVERGENT METHOD FOR MAXIMUM‐LIKELIHOOD FACTOR ANALYSIS