In this article we examine factors affecting fortified wine consumption in Russia by utilizing micro-level data from the Russian Longitudinal Monitoring Survey (RLMS). A model with limited dependent variables has been applied to the study. Our analysis shows that Russian males demonstrate a...

This research shows the application and performance of three models for the classification of credit applicants: discriminant analysis, logistic regression and neural networks; techniques used by financial institutions for the calculation of credit scoring. The results show a better performance...

The share of private consumption in gross domestic product is significant; therefore, private consumption has a great influence on economic growth, which makes it a major concept in economics. The purpose of the paper is to estimate and evaluate different forecasting models for private...

Digital technologies sometimes create digital divides. One of the remedies for certain divides in Europe is the creation of the Digital Single Market, of which e-commerce is one of the main elements. The focus of this work is e-commerce in Spain. The current study improves substantially on...

Small and medium sized enterprises (SMEs) account for about 99% of all enterprises in Croatia as well as in the EU economy. In most industries, SMEs attribute for much of the capital stock, employment, and a significant fraction of innovations. Among all SMEs, those that are growth oriented make...

This paper presents a practical implementation of an analytical customer relationship (CRM) model, which aims to increase the customer satisfaction, thereby reducing the rate of attrition. The analytical CRM model not only manages and synchronizes customer relationship management processes, but...

This paper is an empirical investigation into working poverty across the seven statistical regions in Switzerland. By analysing, in a comparative setting, the determinants of the probability of falling below the poverty line and the resulting social groups at risk, the paper aims at shedding...

Over the last decade there has been growing interest in pool-based active learning techniques, where instead of receiving an i.i.d. sample from a pool of unlabeled data, a learner may take an active role in selecting examples from the pool. Queries to an oracle (a human annotator in most...

We define and investigate classes of statistical models for the analysis of associations between variables, some of which are qualitative and some quantitative. In the cases where only one kind of variables is present, the models are well-known models for either contingency tables or covariance...

This thesis is a study of the detection of separation among the sample points in binary logistic regression models. We propose a new algorithm for detecting separation and demonstrate empirically that it can be computed fast enough to be used routinely as part of the fitting process for logistic...