Testing log‐linear models with inequality constraints: a comparison of asymptotic, bootstrap, and posterior predictive p‐values

DOI10.1111/j.1467-9574.2005.00281.xzbMath1069.62016OpenAlexW2083848437MaRDI QIDQ5313476

Francisca Galindo-Garre, Jeroen K. Vermunt

Publication date: 1 September 2005

Published in: Statistica Neerlandica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1467-9574.2005.00281.x

zbMATH Keywords

inequality constraintsorder-restricted inferenceposterior predicative \(p\)-values

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03) Parametric inference under constraints (62F30) Bayesian inference (62F15) Bootstrap, jackknife and other resampling methods (62F40) Contingency tables (62H17)

Related Items (3)

Multidimensional item response theory models with collateral information as Poisson regression models ⋮ Bayesian test on equality of score parameters in the order restricted RC association model ⋮ Likelihood-based approaches for multivariate linear models under inequality constraints for incomplete data

Cites Work

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• Posterior predictive checks: principles and discussion procedures
• A likelihood ratio test for \(\text{MTP}_ 2\) within binary variables.
• Inconsistency of the Bootstrap when a Parameter is on the Boundary of the Parameter Space
• A Bayesian Formulation of Exploratory Data Analysis and Goodness‐of‐fit Testing*

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