The apparent error rate is a commonly used estimator of the actual error rate in discrimi-nant analysis. In this study the asymptotic bias of the apparent error rate is derived in the context of two multivariate normal populations with unknown different means and unknown common covariance matrix. From the derived expansion a correction term is available for reducing the bias of the apparent error rate from the first to the second order with respect to the reciprocals of the initial sample sizes. Also, some previously unanswered questions on inequalities between the average apparent, the optimal, and the average actual error rates are solved. Some key words: Bias of apparent error rate; Error rates, optimal, actual and apparent; Inequalities...
The distributions of the conditional error rate and risk associated with Anderson's classification s...
AbstractIn this paper an expansion for the variance of the error rate of a classification rule is de...
The performance of four discriminant analysis procedures for the classification of observations from...
A new technique for estimating the error rates in discriminant analysis is suggested. The estimates ...
The so-called posterior probability estimator, e, formed by averaging the minimum of the posterior p...
The problem of classifying an observation X into one of k multivariate normal distributions is consi...
The problem considered in this paper is estimation of the error rate in two-group discriminant analy...
The problem considered in this paper is estimation of the error rate in two-group discriminant analy...
This paper is concerned with the problem of estimating the error rate in two-group discriminant anal...
The rate corresponds to the percent of published (i.e. statistically significant) estimates that are...
This paper is concerned with the problem of estimating the error rate in two-group discriminant anal...
AbstractTheoretical accuracies are studied for asymtotic approximations of the expected probabilitie...
peer reviewedA simulation study has been used to evaluate the minimal error rate of three affectatio...
Discriminant analysis is defined as a statistical technique that classifies a unit whose properties ...
This dissertation considers the estimation of the chance of misclassification when a new observation...
The distributions of the conditional error rate and risk associated with Anderson's classification s...
AbstractIn this paper an expansion for the variance of the error rate of a classification rule is de...
The performance of four discriminant analysis procedures for the classification of observations from...
A new technique for estimating the error rates in discriminant analysis is suggested. The estimates ...
The so-called posterior probability estimator, e, formed by averaging the minimum of the posterior p...
The problem of classifying an observation X into one of k multivariate normal distributions is consi...
The problem considered in this paper is estimation of the error rate in two-group discriminant analy...
The problem considered in this paper is estimation of the error rate in two-group discriminant analy...
This paper is concerned with the problem of estimating the error rate in two-group discriminant anal...
The rate corresponds to the percent of published (i.e. statistically significant) estimates that are...
This paper is concerned with the problem of estimating the error rate in two-group discriminant anal...
AbstractTheoretical accuracies are studied for asymtotic approximations of the expected probabilitie...
peer reviewedA simulation study has been used to evaluate the minimal error rate of three affectatio...
Discriminant analysis is defined as a statistical technique that classifies a unit whose properties ...
This dissertation considers the estimation of the chance of misclassification when a new observation...
The distributions of the conditional error rate and risk associated with Anderson's classification s...
AbstractIn this paper an expansion for the variance of the error rate of a classification rule is de...
The performance of four discriminant analysis procedures for the classification of observations from...