Using mixtures of \(t\) densities to make inferences in the presence of missing data with a small number of multiply imputed data sets (Q1663148)
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scientific article; zbMATH DE number 6921326
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Using mixtures of \(t\) densities to make inferences in the presence of missing data with a small number of multiply imputed data sets |
scientific article; zbMATH DE number 6921326 |
Statements
Using mixtures of \(t\) densities to make inferences in the presence of missing data with a small number of multiply imputed data sets (English)
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21 August 2018
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missing data
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multiple imputation
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Bayesian statistics
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disclosure avoidance
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mixture distribution
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Monte Carlo
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0.9043323
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0.87474096
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0.8739271
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0.8716979
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