Detecting the Guttman effect with the help of ordinal correspondence analysis in synchrotron X-ray diffraction data analysis

DOI10.1080/02664763.2020.1810644OpenAlexW3082456856MaRDI QIDQ5861251

C. Mocuta, Claude Manté, D. P. Borschneck, S. Cornu, R. van Den Bogaert

Publication date: 4 March 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://hal-amu.archives-ouvertes.fr/hal-02943227/file/JAS_EfGutCMSC_Correct.pdf

zbMATH Keywords

orthogonal polynomialseigenvaluesrandomizationdetrended correspondence analysisordinal correspondence analysissynchrotron X-rays diffraction

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Uses Software

• Mathematica
• Canoco
• aspect

Cites Work

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• Multiple correspondence analysis via polynomial transformations of ordered categorical variables
• Selecting the number of components in principal component analysis using cross-validation approximations
• Measuring multivariate association and beyond
• Is the recurrence relation for orthogonal polynomials always stable?
• Simple correspondence analysis of nominal-ordinal contingency tables
• On the number of principal components: a test of dimensionality based on measurements of similarity between matrices
• Testing the significance of the \textit{RV} coefficient
• An analysis and synthesis of multiple correspondence analysis, optimal scaling, dual scaling, homogeneity analysis and other methods for quantifying categorical multivariate data
• Smooth extensions of Pearsons's product moment correlation and Spearman's rho
• The Gifi system of descriptive multivariate analysis.
• Analysis of singly ordered two-way contingency tables
• Cross-validation methods in principal component analysis: a comparison
• Correspondence analysis of multivariate categorical data by weighted least-squares
• On Generating Orthogonal Polynomials
• Fisher's Optimal Scores and Multiple Correspondence Analysis
• Log-Linear Models for Frequency Tables with Ordered Classifications
• Simple Correspondence Analysis of Ordinal Cross-Classifications Using Orthogonal Polynomials
• Theory & Methods: Partitioning Pearson's Chi‐squared Statistic for Singly Ordered Two‐way Contingency Tables
• Simple and multiple correspondence analysis for ordinal-scale variables using orthogonal polynomials
• Application of ordinal correspondence analysis for submerged aquatic vegetation monitoring
• CATANOVA for ordinal variables using orthogonal polynomials with different scoring methods

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