Application of the full Bayesian significance test to model selection under informative sampling (Q2633417)
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| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Application of the full Bayesian significance test to model selection under informative sampling |
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Application of the full Bayesian significance test to model selection under informative sampling (English)
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8 May 2019
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A brief description is given about the problem of informative sampling and the principle methods to handle it. The implementation of the Bayesian approach permits an application of the full Bayesian significance test, in order to test different model forms. The method can be recommended for the analysis of survey data, which ordinarily contain inclusion probabilities. Simulations are studied. This is a very innovative paper on the application of the full Bayesian significance test (FBST).
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informative sampling
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design variables
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inclusion probability
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Bayesian significance measures
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Horvitz-Thompson estimator
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population distribution
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sample distribution
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