A design-based approximation to the Bayes Information Criterion in finite population sampling

DOI10.6092/ISSN.1973-2201/4325zbMath1453.62297OpenAlexW1559130255MaRDI QIDQ5148632

Enrico Fabrizi, Parthasarathi Lahiri

Publication date: 4 February 2021

Full work available at URL: https://doaj.org/article/1592dd36c9364dc698d3d6c517608fef

zbMATH Keywords

model selectionhypothesis testingBayes factorpseudo-maximum likelihoodcluster sampling

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05) Statistical aspects of information-theoretic topics (62B10)

Cites Work

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• Sample surveys: inference and analysis
• Model assisted survey sampling
• Estimating the dimension of a model
• Inference for superpopulation parameters using sample surveys
• Regression Analysis of Data from Complex Surveys
• Bayesian Measures of Model Complexity and Fit
• Survey Design Under the Regression Superpopulation Model
• A Reference Bayesian Test for Nested Hypotheses and its Relationship to the Schwarz Criterion

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