On improved EM algorithm and confidence interval construction for incomplete \(r\times c\) tables

DOI10.1016/J.CSDA.2006.11.035zbMath1161.62367OpenAlexW1973258828MaRDI QIDQ1019922

Kai Wang Ng, Ming Tan, Man-Lai Tang, Guo-Liang Tian

Publication date: 29 May 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2006.11.035

zbMATH Keywords

bootstrapEM algorithmincomplete dataconvergence rateconfidence intervaldata augmentationsmall sample sizepaired binary data

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric tolerance and confidence regions (62G15) Contingency tables (62H17)

Related Items (4)

Testing hypothesis for a simple ordering in incomplete contingency tables ⋮ Valid statistical inference methods for incomplete contingency table with three-category missing data ⋮ Grouped Dirichlet distribution: A new tool for incomplete categorical data analysis ⋮ Further properties and new applications of the nested Dirichlet distribution

Uses Software

• bootstrap

Cites Work

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• Inference and missing data
• Miscellanea. Maximum likelihood estimation in graphical models with missing values
• Covariance structure of the Gibbs sampler with applications to the comparisons of estimators and augmentation schemes
• The Score Test for Independence in R x C Contingency Tables with Missing Data
• A Model for Binary Time Series Data with Serial Odds Ratio Patterns
• Tools for statistical inference. Methods for the exploration of posterior distributions and likelihood functions.

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