Example: stock market
Sensitivity Analysis in Multiple Imputation for Missing Data

Sensitivity Analysis in Multiple Imputation for Missing Data

Back to document page

A data set that contains the variables Y 1, Y 2, ..., Y p (in that order) is said to have a monotone missing pattern when the event that a variable Y j is missing for a particular individual implies that all subsequent variables Y k, k> j, are missing for that individual. For data sets that have monotone missing patterns, the variables that contain missing values can be imputed

  Data, Missing, Missing data

Download Sensitivity Analysis in Multiple Imputation for Missing Data


Information

Domain:

Source:

Link to this page:

Please notify us if you found a problem with this document:

Other abuse

Advertisement

Related search queries