During imputation we replace missing data with substituted values. The types of imputation techniques involve are
- Single Imputation
- Hot-deck imputation: A missing value is imputed from a randomly selected similar record by the help of punch card
- Cold deck imputation: It works same as hot deck imputation, but it is more advanced and selects donors from another datasets
- Mean imputation: It involves replacing missing value with the mean of that variable for all other cases
- Regression imputation: It involves replacing missing value with the predicted values of a variable based on other variables
- Stochastic regression: It is same as regression imputation, but it adds the average regression variance to regression imputation
- Multiple Imputation
- Unlike single imputation, multiple imputation estimates the values multiple times