Pages that link to "Item:Q1772679"
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The following pages link to Significance tests for multi-component estimands from multiply imputed, synthetic microdata (Q1772679):
Displaying 12 items.
- Releasing Multiply Imputed, Synthetic Public use Microdata: An Illustration and Empirical Study (Q82894) (← links)
- A comparison of posterior simulation and inference by combining rules for multiple imputation (Q452512) (← links)
- Distribution-preserving statistical disclosure limitation (Q961922) (← links)
- Multivariate normal inference based on singly imputed synthetic data under plug-in sampling (Q2040673) (← links)
- Multiple imputation for sharing precise geographies in public use data (Q2428744) (← links)
- Selecting the number of imputed datasets when using multiple imputation for missing data and disclosure limitation (Q2475416) (← links)
- Inference for Multivariate Regression Model Based on Synthetic Data Generated Using Plug-in Sampling (Q4999149) (← links)
- New data dissemination approaches in old Europe – synthetic datasets for a German establishment survey (Q5126943) (← links)
- Small-sample degrees of freedom for multi-component significance tests with multiple imputation for missing data (Q5449370) (← links)
- Analysis of One-Way ANOVA Model using Synthetic Data (Q6493998) (← links)
- Using multiple imputation to integrate and disseminate confidential microdata (Q6577563) (← links)
- 30 years of synthetic data (Q6577810) (← links)
