Missing data in design of experiment and contingency table causes incomplete information which leads to more ambiguity in decision making process. Thus, to estimate missing data is an important and challenging problem. In the present paper estimation of missing data in design of experiment by applying the maximum entropy principle is described. An algorithm to estimate the missing values in a fuzzy matrix is defined and applied in estimation of missing data in contingency table.