Abstract. This study focuses on a single Mediterranean hurricane (hereafter medicane), to investigate its response global warming during the middle of 21st century and assesses effects warmer ocean atmosphere development. Our investigation uses state-of-the-art regional climate model WRF produce six-member, multi-physics ensembles. Results show that our setup simulates realistic cyclone track t...

In analyses of contingency tables made up of categorical variables, the study of relationship between the variables is usually the major objective. So far, many association measures and association models have been used to measure  the association structure present in the table. Although the association measures merely determine the degree of strength of association between the study varia...

To reduce their stocks and to limit ruptures, textile companies must improve their supply chain management. This organization requires sales forecasting systems adapted to the uncertain environment of the textile field. The uncertainty is characterized by noisy data, short historic and numerous explanatory variables that influence the sales behavior. This paper deals with new forecasting models...

This document provides supplementary material to our paper “Gender, Competitiveness and Career Choices”. Appendix I presents tables with additional results. This includes descriptive statistics of the control variables (A.I), a comparison of study tracks by gender in the national statistics and in our sample (A.II), the distribution of undergraduate major students by study track at the pre-univ...

Recent advances in neural network modeling have led to the nonlinear generalization of classical multivariate analysis techniques such as principal component analysis and canonical correlation analysis (CCA). The nonlinear canonical correlation analysis (NLCCA) method is used to study the relationship between the tropical Pacific sea level pressure (SLP) and sea surface temperature (SST) fields...

It is far from unusual for a multilevel model to contain a regressor that can be regarded as an endogenous variable. The term endogeneity as opposed to exogeneity is a familiar term in econometrics. Often it manifests itself by explanatory variable being subject to the same influences as the response variable. It is thus not exogenous in the model being fitted. More particularly it may mean tha...