Should we impute or should we weight? Examining the performance of two CART-based techniques for addressing missing data in small sample research with nonnormal variables (Q1658370)
From MaRDI portal
| This is the item page for this Wikibase entity, intended for internal use and editing purposes. Please use this page instead for the normal view: Should we impute or should we weight? Examining the performance of two CART-based techniques for addressing missing data in small sample research with nonnormal variables |
scientific article; zbMATH DE number 6917774
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Should we impute or should we weight? Examining the performance of two CART-based techniques for addressing missing data in small sample research with nonnormal variables |
scientific article; zbMATH DE number 6917774 |
Statements
Should we impute or should we weight? Examining the performance of two CART-based techniques for addressing missing data in small sample research with nonnormal variables (English)
0 references
14 August 2018
0 references
CART
0 references
classification and regression trees
0 references
random forests
0 references
small samples
0 references
missing data
0 references
nonnormality
0 references
0 references