This text provides a comprehensive description of a method of constructing a statistical model when only incomplete data is available. It then proposes specific estimation algorithms for solving various individual incomplete data problems. It discusses the realistic problems on the processing of missing values commonly seen in multidimensional data and the various methods to cope with them.