A critical comparison of two methods of statistical discrimination

Important clinical differences arising in the application of commonly advocated discriminant or diagnostic methods demand a thorough assessment of the realism of their different assessments. Recent theoretical work on the estimation of density functions provides reasons for these differences and suggests which methods should provide greater realism. These suggestions are strongly supported by a simulation study. Specific recommendations are made concerning statistical diagnostic practice.