Imputation of numerical data under linear edit restrictions

A common problem faced by statistical offices is that data may be missing from collected data sets. The typical way to overcome this problem is to impute the missing data. In this paper we describe two algorithms for imputation of missing numerical data that take into account edit restrictions .

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