Mixture models for matched pairs

DOI10.2307/3315823zbMath0800.62026OpenAlexW2032124012MaRDI QIDQ4311662

Mary L. Lesperance, John D. Kalbfleisch

Publication date: 30 October 1994

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

Full work available at URL: https://doi.org/10.2307/3315823

zbMATH Keywords

matched pairsmixture modelssemiparametric mixtureconditional likelihoodcorrelated binary regressionsemi-parametric profile likelihood

Mathematics Subject Classification ID

Foundations and philosophical topics in statistics (62A01) Nonparametric inference (62G99)

Related Items (1)

On the conditional and mixture model approaches for matched pairs

Cites Work

• The geometry of mixture likelihoods: A general theory
• Consistent estimation in the Rasch model based on nonparametric margins
• Binary Regression Using an Extended Beta-Binomial Distribution, With Discussion of Correlation Induced by Covariate Measurement Errors
• A locally most powerful test for homogeneity with many strata
• Semiparametric Estimation in the Rasch Model and Related Exponential Response Models, Including a Simple Latent Class Model for Item Analysis
• An Algorithm for Computing the Nonparametric MLE of a Mixing Distribution
• The analysis of matched proportions
• Unnamed Item
• Unnamed Item

This page was built for publication: Mixture models for matched pairs