In this paper, we propose to use statistical methods to estimate unknown attribute values in databases, as com-pared to assigning possible values at users ’ discretion in common practice. Regression models and classification analysis are introduced for estimating continuous and categorical unknown attribute values, respectively. Pro-cedures for selecting relevant attributes in a relation and preliminary experimental results of the proposed mod-els on a real life database are also presented