Asymmetry models for square contingency tables: exact tests via algebraic statistics
DOI10.1007/s11222-009-9146-7zbMath1284.62336OpenAlexW1987896331MaRDI QIDQ692949
Anne Krampe, Maria Kateri, Sonja Kuhnt
Publication date: 6 December 2012
Published in: Statistics and Computing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11222-009-9146-7
Markov chain Monte Carlogoodness-of-fit testalgebraic statisticsDiaconis-Sturmfels algorithmdiagonal symmetryordinal quasi symmetrytriangular symmetry
Hypothesis testing in multivariate analysis (62H15) Monte Carlo methods (65C05) Numerical analysis or methods applied to Markov chains (65C40) Contingency tables (62H17)
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- Likelihood, Bayesian, and MCMC methods in quantitative genetics
- A simple diagonals-parameter symmetry and quasi-symmetry model
- Bowker's test for symmetry and modifications within the algebraic framework
- Models for the association between ordinal variables.
- Algebraic algorithms for sampling from conditional distributions
- 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
- Markov bases and structural zeros
- Algebraic exact inference for rater agreement models
- A class of ordinal quasi-symmetry models for square contingency tables
- A class of parametric models for the analysis of square contingency tables with ordered categories
- Algebraic Markov Bases and MCMC for Two‐Way Contingency Tables
- Contribution à l'analyse statistique des tableaux de corrélation
- Markov chain Monte Carlo exact tests for incomplete two-way contingency tables
- Some Methods for Strengthening the Common χ 2 Tests
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