Treatment of Missing Data via Multiple Imputation and Finite-Difference Interpolations

Abstract

The missing data problem has been under study for sometime now, this work explains the state of the art and introduces another data mining technique to further handle the missing data problem.  Numerical recipes are not new to the study of the problem, this work is an exhibition of more numerical recipes and the types of data they are appropriate for.