This paper proposes the usage of the bootstrap resampling for testing scenario generation methods in order to solve multi-period stochastic programming applications.

This paper presents an approach on teaching statistics in e-learning environments. The following ways in using E-learning in the mathematical statistics field are emphasized: learning from feedback, observing patterns, seeing connections, working with dynamic pictures, exploring data and teaching the computer by writing code. Details on preparing a statistics course are given.

From the first call for papers: "After seven successful conferences the annual meeting of the European Network of Business and Industry Statistics has established as the platform for statistical practitioners and academics to exchange ideas, challenges and techniques in statistics for Business and Industry. As has become custom in the past conferences we look for presentations and posters about all topics with application to business and industry.

ANCS a lansat calendarul competitional pentru depunerea de proiecte CDI de catre organizatiile eligibile. Detalii pot fi gasite la: http://www.mct.ro/ancs_web/img/files_up/1193753273Lansare%20Comp%202008.doc

Computer-Intensive methods for estimation assessment provide valuable information concerning the adequacy of applied probabilistic models. The bootstrap method is an extensive computational approach for understanding empirical data and is based on resampling and statistical estimation. It is a powerful tool, especially when only a small data set is used to predict the behaviour of systems or processes. This paper describes some case studies based

This paper describes the software system called PoLogCem, a PC user-friendly software for pollution m0deling and cement production optimization under environmental constraints.

This paper describes the architecture of a virtual environment based on intelligent mechatronic systems useful for research and virtual learning.

This event stems from a European initiative merging the ESRA (www.esrahomepage.org ) and SRA-E (www.sraeurope.org ) annual conferences into the major risk analysis, safety and reliability conference in Europe during 2008. The conference will provide a forum for presentation and discussion of scientific papers covering theory, methods and applications in the fields of risk, safety and reliability to a wide range of sectors and problem areas. Valencia

To predict the reliability of a software system based on inter-failure time series, neural networks can be used to learn about the software behaviour. The paper considers the DLS (discounted least square) principle for constructing a learning algorithm. Various circular back-propagation networks are experimented with a large number of inter-failure time series available for some projects. In order to deal also with multiple steps time series prediction,