Adjusted power-divergence test statistics for simple goodness-of-fit under clustered sampling

DOI10.1080/00949655.2013.769988zbMath1453.62290OpenAlexW2049813974MaRDI QIDQ5219445

Aylin Alin

Publication date: 12 March 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2013.769988

zbMATH Keywords

penalizationDirichlet-multinomial distributionclustered samplingdesign effectpower-divergence

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05)

Cites Work

• On chi-squared tests for multiway contingency tables with cell proportions estimated from survey data
• On simple adjustments to chi-square tests with sample survey data
• Goodness-of-fit statistics for discrete multivariate data
• Divergence-based estimation and testing of statistical models of classification
• Evaluation of algorithms for generating Dirichlet random vectors
• Approximate Tests of Independence and Goodness of Fit Based on Stratified Multistage Samples
• Analysis of contingency tables under cluster sampling
• The Analysis of Categorical Data From Complex Sample Surveys: Chi-Squared Tests for Goodness of Fit and Independence in Two-Way Tables
• The Distribution of the Chi-Squared Statistic Under Clustered Sampling from Contingency Tables
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Adjusted power-divergence test statistics for simple goodness-of-fit under clustered sampling