A Comparison of Different Methods for Representing Categorical Data

DOI10.1080/03610910600591875zbMath1093.62061OpenAlexW1970853310MaRDI QIDQ5481631

Daniel Cuadras, Carles M. Cuadras, Michael J. Greenacre

Publication date: 10 August 2006

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610910600591875

zbMATH Keywords

correspondence analysiscompositional datamultidimensional scalingchi-square distance

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Contingency tables (62H17)

Related Items (9)

An exposition of multivariate analysis with the singular value decomposition in R ⋮ Robust distance measure to detect outliers for categorical data ⋮ Distance-Based Measures of Association with Applications in Relating Hyperspectral Images ⋮ Comparing multiple factor analysis and related metric scaling ⋮ Power transformations in correspondence analysis ⋮ A parametric approach to correspondence analysis ⋮ Measures of Association and Visualization of Log Odds Ratio Structure for a Two Way Contingency Table ⋮ Distributional equivalence and subcompositional coherence in the analysis of compositional data, contingency tables and ratio-scale measurements ⋮ A short history of statistical association: from correlation to correspondence analysis to copulas

Cites Work

• Correspondence analysis used complementary to loglinear analysis
• Comparing Two Methods for Joint Representation of Multivariate Data
• Biplots of Compositional Data
• Correspondence Analysis in Practice
• Decision Rules, Based on the Distance, for Problems of Fit, Two Samples, and Estimation
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