The paper describes the position of the least developed micro-regions (LHH) that are to be supported by the current Hungarian complex programme, with special regard to their employment and unemployment position. I have a double aim with this work. On the one hand, I aim at describing the...

This study classifies the vegetation status to determine the factors affecting grassland succession retardation in the Juifang area. Data derived from Land Use Investigation of Taiwan, GIS techniques, multivariate analysis, and on-site investigation was applied in this research. Discriminant...

This paper describes the results of the application of multivariate statistical analysis and econometric modelling to assess the creditworthiness of non-financial companies on the micro and macro levels. On the basis of company's financial reports data we propose a system of credit measures...

El objetivo de este trabajo es presentar un modelo de clasificación de entidades bancarias estimado mediante la técnica del análisis discriminante lineal multivariante, precedido de un breve recorrido sobre la evolución de la reciente crisis bancaria en España. Se utiliza una muestra de...

Wage systems have an significant impact on the community and, over the years, a variety of wage policies have been used in Australia. The basic attitudes of political parties, the union movement and employer organisations are well known but public opinion has not been extensively probed. A...

The purpose of this paper is to address some of the methodological issues which have evolved from the literature on corporate failures, and to report the results of an empirical investigation on the usefulness of financial models for the prediction of corporate failures.The experimental design...

A random sample of 400 homes in Perth responded to a life style instrument and to a series of questions on television viewing habits. Respondents were divided into a number of groups based upon their self reported viewing frequencies of the three available Perth television channels. Using...

The aim of this paper is to identify a set of early warning indicators that effectively discriminate between firms that are more prone to default on their financial obligations from those that are less prone to do so. To fulfill this objective, we use the Discriminant Analysis methodology. We...

In analysing ECG data, the main aim is to differentiate between the signal patterns of healthy subjects and those of individuals with specific heart conditions. We propose an approach for classifying multivariate ECG signals based on discriminant and wavelet analyses. For this purpose we use...

Mixtures of common factor analyzers (MCFA), thought of as a parsimonious extension of mixture factor analyzers (MFA), have recently been developed as a novel approach to analyzing high-dimensional data, where the number of observations n is not very large relative to their dimension p. The key...