Comparing three partitions: an inferential approach based on multi-way contingency tables

DOI10.1080/03610929708832059zbMath0954.62543OpenAlexW2014190577MaRDI QIDQ4269973

Andrea Cerioli

Publication date: 10 November 1999

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

Full work available at URL: https://doi.org/10.1080/03610929708832059

zbMATH Keywords

cluster analysisGibbs samplingagreementrandomization testsRand indexthree-way tables

Mathematics Subject Classification ID

Contingency tables (62H17)

Uses Software

• AS 159

Cites Work

• Unnamed Item
• Algorithm AS 159: An Efficient Method of Generating Random R × C Tables with Given Row and Column Totals
• Measures of association for cross classifications
• An algorithm to maximize the agreement between partitions
• Correspondence analysis and optimal structural representations
• A survey of exact inference for contingency tables. With comments and a rejoinder by the author
• A Method for Comparing Two Hierarchical Clusterings
• Exact distributions associated with an i×j×k contingency table
• Goodness-of-Fit Tests for Large Sparse Multinomial Distributions
• Approximate Conditional Inference in Exponential Families Via the Gibbs Sampler
• Exact Conditional Tests of Quasi-Independence for Triangular Contingency Tables: Estimating Attained Significance Levels
• Large sample results for permutation tests of association
• Exact Conditional Tests for Hierarchical Models in Multidimensional Contingency Tables
• Estimating Exact p Values by the Method of Control Variates or Monte Carlo Rescue

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