What is Imputation

1.

Substitution of some values for missing data. When missing values are imputed, data can be analyzed using standard techniques for complete data. Learn more in: Systems Biology of Human-Pathogenic Fungi

2.

is a generic term for filling in unknown features with plausible values provided by a missing data estimator. Missing values are estimated from the available data. Learn more in: Classification with Incomplete Data

3.

Imputation is the estimation of missing values by statistical techniques. The missing values are filled in and the resultant completed dataset can be analysed by standard methods. Learn more in: A Framework of Statistical and Visualization Techniques for Missing Data Analysis in Software Cost Estimation

4.

Replacement of a missing value by a surrogate. Learn more in: Object Classification Using CaRBS

5.

Replacement of a missing value by a surrogate. Learn more in: Classification and Ranking Belief Simplex

6.

Imputation is the prediction of a missing value based on some procedure, using a mathematical model in combination with available information. Learn more in: Fuzzy Imputation Method for Database Systems