Simple correspondence analysis using adjusted residuals

DOI10.1016/j.jspi.2011.11.004zbMath1232.62093OpenAlexW2009236518MaRDI QIDQ665056

Eric J. Beh

Publication date: 5 March 2012

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/1959.13/1054339

zbMATH Keywords

associationadjusted Pearson residualsPearson residualsstandardised residualsweighted chi-squared statistic

Mathematics Subject Classification ID

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

Related Items (4)

An algebraic generalisation of some variants of simple correspondence analysis ⋮ Diagnostics in a simple correspondence analysis model: an approach based on Cook's distance for log-linear models ⋮ Correspondence analysis and the Freeman-Tukey statistic: a study of archaeological data ⋮ Some new aspects of taxicab correspondence analysis

Uses Software

• AS 155
• AS 106

Cites Work

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• Non-symmetric correspondence analysis with ordinal variables using orthogonal polynomials
• S-PLUS code for ordinal correspondence analysis
• S-Plus code for simple and multiple correspondence analysis
• Biplots of Compositional Data
• A Combined Approach to Contingency Table Analysis Using Correspondence Analysis and Log-Linear Analysis
• Some Useful Extensions of the Usual Correspondence Analysis Approach and the Usual Log-Linear Models Approach in the Analysis of Contingency Tables
• Correspondence analysis of multivariate categorical data by weighted least-squares
• A Test for Detecting Outlying Cells in the Multinomial Distribution and Two-Way Contingency Tables
• Algorithm AS 155: The Distribution of a Linear Combination of χ 2 Random Variables
• Simultaneously Modeling Joint and Marginal Distributions of Multivariate Categorical Responses
• Nonparametric Analysis for Doubly Ordered Two-Way Contingency Tables
• Simple Correspondence Analysis of Ordinal Cross-Classifications Using Orthogonal Polynomials
• Simple Correspondence Analysis: A Bibliographic Review

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