Missing data are a part of almost all research, and we all have to decide how to deal with it
from time to time. There are a number of alternative ways of dealing with missing data. The
problem of handling missing data has been treated adequately in various real world data
sets. Several statistical methods have been developed since the early 1970s, when the
manipulation of complicated numerical calculations became feasible with the advance of
computers. The purpose of this research is to estimate missing values by using artificial …