Along with many others, we agree that a modern education in statistics needs to incorporate the practical analysis of real datasets, which are usually more complex than the common examples found in standard textbooks. The software used in the teaching of statistics includes standard spreadsheet...

E-learning plays an important role in education as it supports online education via computer 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...

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

With the increase of e-learning by universities and educational institutes in the world through more electronic platforms, come the questions to researchers, educators and designers of electronic platforms about feasibility and using this method of learning. Are we achieving the desired goals...

Modern computing equipment is present at schools and universities at all levels of education. 4 In the statistical sciences computers offer great opportunities to enrich the learning process by the means of e.g. animations, software integration or on-the-fly computations. A personal review of...

In this paper, we present a case study, which describe the development of the Statistic e-learning-course in Arabic language -"Arabic MM*STAT". The basic frame for this E-book, the system MM*STAT was developed at the School for Business and Economics of Humboldt-Universita͏̈t zu Berlin. Arabic...

E-learning plays an important role in education as it supports online education via computer 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...

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 moving...

With the recent availability of high-frequency Financial data the long range dependence of volatility regained researchers' interest and has lead to the consideration of long memory models for realized volatility. The long range diagnosis of volatility, however, is usually stated for long sample...