Multiple Imputation of Missing or Faulty Values Under Linear Constraints
Multiple Imputation of Missing or Faulty Values Under Linear Constraints
Many statistical agencies, survey organizations, and research centers collect data that suffer from item nonresponse and erroneous or inconsistent values. These data may be required to satisfy linear constraints, for example, bounds on individual variables and inequalities for ratios or sums of variables. Often these constraints are designed to identify …