Cases of doubt in allocation problems

Abstract

Allocation problems can involve elements whose original population is not conclusively indicated by the observation. These elements are called ‘cases of doubt’. In this paper a decision-theoretical model for allocation problems admitting cases of doubt is developed. The sampling situation is discussed both from a distribution-free point of view and for multinormal distributions. The theory is illustrated with an example from medical differential diagnosis.