Add to ORKGThis paper is a survey study on applications of boot- strap methods for estimating the probability of misclassifications in two-groups discriminant analysis. Here we use the linear discrimi- nant function as classification rule. Some comparative studies on the performances of the considered estimators are also discussed
The “bootstrap” approach of Efron is considered in its application to the estimation of error rates ...
AbstractRecent work on robust error rate estimation in classification analysis is summarized. First,...
This paper is a survey study on discriminant functions and their misclassification errors. Here we co...
This paper is a survey study on applications of boot- strap methods for estimating the probability o...
This paper is a survey study on estimation of the pro- bability of misclassifications in two-groups d...
This paper proposes a Bootstrap algorithm for linear discriminant analysis. The apparent error rate ...
This paper is concerned with the problem of estimating the error rate in two-group discriminant anal...
This paper is concerned with the problem of estimating the error rate in two-group discriminant anal...
In this paper we propose new error rate estimators based on balanced bootstrap technique, which are ...
In this paper we propose new error rate estimators based on balanced bootstrap technique, which are ...
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...
Producción CientíficaClassification rules that incorporate additional information usually present in...
An observation assumed to have come from one of two populations, (PI)(,1) and (PI)(,2), is to be cla...
This dissertation considers the estimation of the chance of misclassification when a new observation...
The “bootstrap” approach of Efron is considered in its application to the estimation of error rates ...
AbstractRecent work on robust error rate estimation in classification analysis is summarized. First,...
This paper is a survey study on discriminant functions and their misclassification errors. Here we co...
This paper is a survey study on applications of boot- strap methods for estimating the probability o...
This paper is a survey study on estimation of the pro- bability of misclassifications in two-groups d...
This paper proposes a Bootstrap algorithm for linear discriminant analysis. The apparent error rate ...
This paper is concerned with the problem of estimating the error rate in two-group discriminant anal...
This paper is concerned with the problem of estimating the error rate in two-group discriminant anal...
In this paper we propose new error rate estimators based on balanced bootstrap technique, which are ...
In this paper we propose new error rate estimators based on balanced bootstrap technique, which are ...
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...
Producción CientíficaClassification rules that incorporate additional information usually present in...
An observation assumed to have come from one of two populations, (PI)(,1) and (PI)(,2), is to be cla...
This dissertation considers the estimation of the chance of misclassification when a new observation...
The “bootstrap” approach of Efron is considered in its application to the estimation of error rates ...
AbstractRecent work on robust error rate estimation in classification analysis is summarized. First,...
This paper is a survey study on discriminant functions and their misclassification errors. Here we co...