In this article, we propose an intersection-union test for multivariate forecast accuracy based on the combination of a sequence univariate tests. The testing framework evaluates global null hypothesis equal predictive ability using any number tests under arbitrary dependence structures, without specifying underlying distribution. An extensive Monte Carlo simulation exercise shows that our prop...

The Mahalanobis-Taguchi System is a diagnosis and predictive method for analyzing patterns in multivariate cases. The goal of this study is to compare the ability of the Mahalanobis- Taguchi System and a neural-network to discriminate using small data sets. We examine the discriminant ability as a function of data set size using an application area where reliable data is publicly available. The...

The paper investigates the relationship between financial distress of European private companies identified by Altman Z-score and real bankruptcy. We extend traditional with asymmetric effect economic activity. Our results show higher forecasting performance large in a three-year projection. argue that our differ from (1968) because specific market conditions Europe enable prolongation activity...

background coronary heart disease (chd) is the leading cause of death worldwide. research indicates that coronary atherosclerosis is the most frequent cause of chd. evidence is scarce concerning the clinical efficacy of fibrinogen or neutrophil-lymphocyte ratio (nlr) measurement in risk-stratifying patients with chronic stable angina. conclusions nlr and fibrinogen predicted cad, independent of...

A new method for the elimination of uninformative variables in multivariate data sets is proposed. To achieve this, artificial (noise) variables are added and a closed form of the PLS or PCR model is obtained for the data set containing the experimental and the artificial variables. The experimental variables that do not have more importance than the artificial variables, as judged from a crite...