Pages that link to "Item:Q1663148"
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The following pages link to Using mixtures of \(t\) densities to make inferences in the presence of missing data with a small number of multiply imputed data sets (Q1663148):
Displaying 4 items.
- A comparison of posterior simulation and inference by combining rules for multiple imputation (Q452512) (← links)
- Multiply imputing missing values in data sets with mixed measurement scales using a sequence of generalised linear models (Q1659480) (← links)
- Selecting the number of imputed datasets when using multiple imputation for missing data and disclosure limitation (Q2475416) (← links)
- Small-sample degrees of freedom for multi-component significance tests with multiple imputation for missing data (Q5449370) (← links)
