Exploratory analysis of contingency tables by loglinear formulation and generalizations of correspondence analysis
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Publication:2639509
DOI10.1007/BF02294135zbMath0718.62117MaRDI QIDQ2639509
Publication date: 1988
Published in: Psychometrika (Search for Journal in Brave)
interactionsmutual informationexploratory data analysiscontingency tablesNewton's algorithmthree-way tablesgeneralizations of correspondence analysisloglinear formulationmissing cells
Related Items (10)
An algebraic generalisation of some variants of simple correspondence analysis ⋮ A user-oriented overview of multiway methods and software ⋮ Simple Correspondence Analysis: A Bibliographic Review ⋮ Unnamed Item ⋮ Three-factor association models for three-way contingency tables ⋮ Three-way association measure decompositions: the Delta index ⋮ The analysis of three-way contingency tables by three-mode association models ⋮ Decompositions and biplots in three-way correspondence analysis ⋮ Gleaning in the field of dual scaling ⋮ Symmetrical and non-symmetrical variants of three-way correspondence analysis for ordered variables
Cites Work
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- I-divergence geometry of probability distributions and minimization problems
- 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
- Correspondence analysis used complementary to loglinear analysis
- Analysis of individual differences in multidimensional scaling via an \(n\)-way generalization of ``Eckart-Young decomposition
- On the Hypothesis of No "Interaction" In a Multi-way Contingency Table
- On the Second Derivative Test for Constrained Local Extrema
- Multiplicative and additive interaction in contingency tables
- Interaction in multidimensional contingency tables: an information theoretic approach
- The Analysis of Cross-Classified Data: Independence, Quasi-Independence, and Interactions in Contingency Tables with or Without Missing Entries
- The Multiplicative Definition of Interaction
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