Imputation of missing data
Imputation involves replacing missing values, with an estimated value. It is one of three options for handling missing data. The general principle is to delete when the data are expendable, impute when the data are precious, and segment for the less common situation in which a large data set has a large fissure.
Source: SAGE Research Methods.