AbstractKrusinska [1] has introduced the Lp-estimate for the dichotomous and polychotomous logistic discriminant function. In the present paper, a simple method for variable selection for such a function is described
This study provides a comprehensive review of the literature pertaining to the problem of classifica...
In this paper, we suggest the new variable selection procedure, called MEC, for linear discriminant ...
Two of the most widely used statistical methods for analyzing categorical outcome variables are line...
AbstractKrusinska [1] has introduced the Lp-estimate for the dichotomous and polychotomous logistic ...
AbstractThe paper presents Lp-solution for logistic discriminant function in dichotomous as well as ...
We consider the variable selection problem in the nonlinear discriminant pro-cedure using local like...
We propose an isotonic logistic discrimination procedure which generalises linear logistic discrimin...
In discriminant analysis involving continuous and categorical variables, the simplest and convention...
AbstractWe propose a criterion for variable selection in discriminant analysis. This criterion permi...
A linearised approximation of the log-likelihood objective function is presented as a potential alte...
Abstract—Linear discriminant analysis (LDA) is one of the well known methods to extract the best fea...
AbstractLogistic discrimination is a partially parametric method for classifying multivariate observ...
In two-group discriminant analysis, the Neyman-Pearson Lemma establishes that the ROC, receiver oper...
Variable selection is a venerable problem in multivariate statistics. In the context of discriminant...
A commonly used procedure for reduction of the number of variables in the linear discriminant analys...
This study provides a comprehensive review of the literature pertaining to the problem of classifica...
In this paper, we suggest the new variable selection procedure, called MEC, for linear discriminant ...
Two of the most widely used statistical methods for analyzing categorical outcome variables are line...
AbstractKrusinska [1] has introduced the Lp-estimate for the dichotomous and polychotomous logistic ...
AbstractThe paper presents Lp-solution for logistic discriminant function in dichotomous as well as ...
We consider the variable selection problem in the nonlinear discriminant pro-cedure using local like...
We propose an isotonic logistic discrimination procedure which generalises linear logistic discrimin...
In discriminant analysis involving continuous and categorical variables, the simplest and convention...
AbstractWe propose a criterion for variable selection in discriminant analysis. This criterion permi...
A linearised approximation of the log-likelihood objective function is presented as a potential alte...
Abstract—Linear discriminant analysis (LDA) is one of the well known methods to extract the best fea...
AbstractLogistic discrimination is a partially parametric method for classifying multivariate observ...
In two-group discriminant analysis, the Neyman-Pearson Lemma establishes that the ROC, receiver oper...
Variable selection is a venerable problem in multivariate statistics. In the context of discriminant...
A commonly used procedure for reduction of the number of variables in the linear discriminant analys...
This study provides a comprehensive review of the literature pertaining to the problem of classifica...
In this paper, we suggest the new variable selection procedure, called MEC, for linear discriminant ...
Two of the most widely used statistical methods for analyzing categorical outcome variables are line...
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