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

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