Students of introductory courses consider statistics as particularly difficult,as the understanding of the underlying concepts may require more time andenergy than for other disciplines. For decades statisticians have tried to enhanceunderstanding with the help of technical solutions such as...

Without doubt modern education in statistics must involve practical, computer-based data analysis but the question arises whether and how computational elements should be integrated into the canon of methodological education. Should the student see and study high-level programming code right at...

Statistical research has always been at the edge of available computing power. Huge datasets, e.g in DataMining or Quantitative Finance, and computationally intensive techniques, e.g. bootstrap methods, always require a little bit more computing power than is currently available. But the most...

E-learning plays an important role in education as it supports online education viacomputer networks and provides educational services by utilising information technologies. We present a case study describing the development of an Arabic language elearning course in statistics. Discussed are...

E-learning plays an important role in education as it supports online education viacomputer networks and provides educational services by utilising information technologies. We present a case study describing the development of an Arabic language elearning course in statistics. Discussed are...

Exploratory factor analysis (EFA) is an important tool in data analyses,particularly in social science. Usually four steps are carried out which contain alarge number of options. One important option is the number of factors and theassociation of variables with a factor. Our tools aim to...

Teaching statistics to students in our area of economics and educationalscience often brings about the problem that students have either forgottentheir statistical knowledge, or have taken different classes than the ones weoffer in basic statistics. We therefore need some kind of statistical...

In high-dimensional data, one often seeks a few interesting low-dimensional projections that reveal important features of the data. Projection pursuit is a procedure for searching high-dimensional data for interesting low-dimensional projections via the optimization of a criterion function...

In recent years, support vector regression (SVR), a novel neural network (NN) technique, has been successfully used for financial forecasting. This paper deals with the application of SVR in volatility forecasting. Based on a recurrent SVR, a GARCH method is proposed and is compared with a...

A great proportion of stock dynamics can be explained using publicly availableinformation. The relationship between dynamics and public information may be ofnonlinear character. In this paper we offer an approach to stock picking by employing so-called decision trees and applying them to XETRA...