This electronic monograph deals with the generating and testing of artificial random numbers and demonstrates their applications in practice. Artificial random experiments allow to treat a large variety of problems. The software is organized according to areas of subjects: artificial randomness, stochastic models, stochastic processes, evaluation of statistical methods. The examples chosen range from the control of traffic lights at road bottlenecks to Maxwell's law on the velocity distribution of gases. The presentation of the material is done via appropriate computer visualization, and the theory behind the experiments is given in both the electronic component and the accompanying booklet. This product, presenting many well-prepared simulations, will be very useful for instructional purposes.
From the reviews of the first edition: "... This really electronic monograph can be highly recommended for all interested in experimental stochastics (...), from novices to lecturers and practising engineers, economists, etc. It is also of interest for experts in the area of mathematics and statistics, because it offers insight which a purely mathematical approach cannot give. F.Breitenecker. A personal remark: this monograph can really be highly recommended, but should I do that? - it is able to replace not only a lecture, it also is able to replace a lecturer like me." (Eurosim - Simulation News Europe, Österreich, 24.1998.11, S.54-55) "... The monograph may serve as a time-saving introduction to experimental stochastics - stochastic simulation for scientists, engineers, economists. Nevertheless it offers experiences to the mathematician and the statistician which the purely mathematical approach cannot give. Last but not least the electronic monograph can be used as a very helpful tool for teaching stochastics at universities. (J.vom Scheidt, Technical University Chemnitz, Statistics & Decisions, Vol. 17 (1999)) "... In summary, I think that this unique package can be used very successfully in courses to motivate students for problems in probability theory and statistics in a lucid way ... " (M.Voit, Tübingen, Metrika, 1999, Vol. 49, Issue 3, p. 263)
Quelle/Copyright: Captain-Fantastic-Besprechung