In the conventional data envelopment analysis (DEA), it is assumed that all decision making units (DMUs) using the same input and output measures, means that DMUs are homogeneous. In some settings, however, this usual assumption of DEA might be violated. A related problem is the problem of textit{missing} textit{data} where a DMU produces a certain output or consumes a certain input but the val...

The multiple imputation was developed as a general method for inference with missing data. Instead replacing the missing observation with a single value, multiple imputation method replaces each missing value with multiple plausible values. PROC MI in SAS creates multiply imputed data sets for incomplete multivariate data. This study reviews multiple imputation as an analytic strategy for missi...