In this article we study the distributional properties of the linear discriminant function under the assumption of the … discriminant function coefficient is derived which is then used to establish the asymptotic distribution under the high …-dimensional asymptotic regime. Moreover, we investigate the classi cation analysis based on the discriminant function in both small and large …

namely: Maximum Likelihood Discriminant Function (MLDF), Fisher's linear Discriminant Function and Distance Based … Discriminant Function. To Judge the performances of these procedures, the Apparent Error Rates for each procedure is obtained for … the three procedures are insensitive to cost ratio exceeding ratio 1:2 and that MLDF was observed as robust discriminant …

namely: Maximum Likelihood Discriminant Function (MLDF), Fisher's linear Discriminant Function and Distance Based … Discriminant Function. To Judge the performances of these procedures, the Apparent Error Rates for each procedure is obtained for … the three procedures are insensitive to cost ratio exceeding ratio 1:2 and that MLDF was observed as robust discriminant …

its successful business results. Kralicek discriminant function is a model for the assessment of financial stability and …, financially healthy companies. In this paper we present the basic aspects of Kralicek discriminant function and test the …

survey data from 240 households. A discriminant function was employed to examine the relative importance of different socio …

personal interview method. A linear discriminant function considered to examine the relative importance of different factors in …

its successful business results. Kralicek discriminant function is a model for the assessment of financial stability and …, financially healthy companies. In this paper we present the basic aspects of Kralicek discriminant function and test the …

improvement and pollution control. Multivariate analysis of variance and discriminant function analysis are applied for data …