Many methods of multivariate analysis are based on metric variables. In the case of questionnaire-based surveys qualitative data usually prevail, measured nominally or ordinal. This paper contains the discriminant analysis from data recorded from a sample of 100 respondents, with regard to:...

When data come from a mixture of two weakly symmetric distributions with different means and proportional covariances, we estimate the best linear discriminant projection with the projection of the standardized data onto the direction of a vector-valued measure of skewness.

Given training sample, the problem of classifying the scalar Gaussian random field observation into one of several classes specified by different regression mean models and common parametric covariance function is considered. The classifier based on the plug-in Bayes classification rule formed...

The main purpose of this paper is to investigate macroeconomic variables that are predictive of banking crisis. We focus on selecting variables that have high predictive power to discriminate between two groups of countries: the sound and the distressed. We consider a sample of 50 emerging...