On the conditional and mixture model approaches for matched pairs

DOI10.1016/S0378-3758(96)00080-8zbMath0866.62007MaRDI QIDQ1125976

Jiahua Chen

Publication date: 24 July 1997

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

zbMATH Keywords

likelihood ratio testnuisance parametersmaximum likelihood estimatorlimiting distributionsmixing distributionmixture modelidentity linklog linklogistic link

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Asymptotic distribution theory in statistics (62E20) Asymptotic properties of parametric tests (62F05)

Related Items (3)

Considering the Concordant Observations in Likelihood Ratio Test for Paired Binary Data ⋮ A Revised Version of McNemar's Test for Paired Binary Data ⋮ Accounting for matching structure in post-matching analysis of observational studies

Cites Work

• Unnamed Item
• Unnamed Item
• Asymptotic distribution of the likelihood ratio test that a mixture of two binomials is a single binomial
• Consistency of the Maximum Likelihood Estimator in the Presence of Infinitely Many Incidental Parameters
• Statistical analysis of finite mixture distributions
• Semiparametric Estimation in the Rasch Model and Related Exponential Response Models, Including a Simple Latent Class Model for Item Analysis
• Mixture models for matched pairs
• Consistent Estimates Based on Partially Consistent Observations
• On the Distribution of the Likelihood Ratio

This page was built for publication: On the conditional and mixture model approaches for matched pairs