Add to ORKGThis paper is a survey study on discriminant functions and their misclassification errors. Here we consider three groups of discriminant functions, namely discriminant functions for respec- tively multivariate normal variables, multivariate binary variables, and a mixture of multivariate binary and normal variables. Finally we derive their misclassification errors
AbstractA class of discriminant rules which includes Fisher’s linear discriminant function and the l...
In this paper, we propose approximations for the probabilities of misclassification in linear discri...
Errors of misclassification and their probabilities are studied for classification problems associat...
This paper is a survey study on discriminant functions and their misclassification errors. Here we co...
This paper is a survey study on estimation of the pro- bability of misclassifications in two-groups d...
AbstractWe consider the problem of discriminating, on the basis of random “training” samples, betwee...
This dissertation considers the estimation of the chance of misclassification when a new observation...
In this paper, the discrimination and classification problem associated with the persistent non norm...
A review is given on existing work and result of the performance of some discriminant analysis proce...
AbstractLet α(n1, n2) be the probability of classifying an observation from population Π1 into popul...
This paper is a survey study on applications of boot- strap methods for estimating the probability o...
This thesis covers misclassification probabilities via an Edgeworth-type expansion of the maximum li...
AbstractIn this paper it is studied how observations in the training sample affect the misclassifica...
A análise discriminante faz parte de um conjunto de técnicas de estatística multivariada e o seu pri...
Includes bibliography.The purpose of the procedures described is to assign “objects” or "observation...
AbstractA class of discriminant rules which includes Fisher’s linear discriminant function and the l...
In this paper, we propose approximations for the probabilities of misclassification in linear discri...
Errors of misclassification and their probabilities are studied for classification problems associat...
This paper is a survey study on discriminant functions and their misclassification errors. Here we co...
This paper is a survey study on estimation of the pro- bability of misclassifications in two-groups d...
AbstractWe consider the problem of discriminating, on the basis of random “training” samples, betwee...
This dissertation considers the estimation of the chance of misclassification when a new observation...
In this paper, the discrimination and classification problem associated with the persistent non norm...
A review is given on existing work and result of the performance of some discriminant analysis proce...
AbstractLet α(n1, n2) be the probability of classifying an observation from population Π1 into popul...
This paper is a survey study on applications of boot- strap methods for estimating the probability o...
This thesis covers misclassification probabilities via an Edgeworth-type expansion of the maximum li...
AbstractIn this paper it is studied how observations in the training sample affect the misclassifica...
A análise discriminante faz parte de um conjunto de técnicas de estatística multivariada e o seu pri...
Includes bibliography.The purpose of the procedures described is to assign “objects” or "observation...
AbstractA class of discriminant rules which includes Fisher’s linear discriminant function and the l...
In this paper, we propose approximations for the probabilities of misclassification in linear discri...
Errors of misclassification and their probabilities are studied for classification problems associat...