Pages that link to "Item:Q957717"
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The following pages link to A multiple imputation method for non-Gaussian data (Q957717):
Displaying 14 items.
- Multiple Imputation of Predictor Variables Using Generalized Additive Models (Q147450) (← links)
- A multiple imputation approach to deal with the unity measure error (Q257575) (← links)
- Modeling dropouts by conditional distribution, a copula-based approach (Q840738) (← links)
- Missing data imputation through GTM as a mixture of \(t\)-distributions (Q858901) (← links)
- Impact of non-normal random effects on inference by multiple imputation: a simulation assessment (Q962317) (← links)
- Imputation through finite Gaussian mixture models (Q1020207) (← links)
- Multiply imputing missing values in data sets with mixed measurement scales using a sequence of generalised linear models (Q1659480) (← links)
- Imputation for skewed data: multivariate Lomax case (Q2047379) (← links)
- A numerical study of multiple imputation methods using nonparametric multivariate outlier identifiers and depth-based performance criteria with clinical laboratory data (Q3019808) (← links)
- A Simple Method to Ensure Plausible Multiple Imputation for Continuous Multivariate Data (Q3072410) (← links)
- Imputing continuous data under some non‐Gaussian distributions (Q3525714) (← links)
- Alternative imputation techniques for complex metric variables (Q3591877) (← links)
- A Wavelet- or Lifting-Scheme-Based Imputation Method (Q3631462) (← links)
- Missing data analysis and imputation via latent Gaussian Markov random fields (Q5870740) (← links)
