Classical Methods of Statistics is a guidebook combining theory
and practical methods. It is especially conceived for graduate
students and scientists who are interested in the applications of
statistical methods to plasma physics. Thus it provides also
concise information on experimental aspects of fusion-oriented
plasma physics. In view of the first three basic chapters it can be
fruitfully used by students majoring in probability theory and
statistics. The first part deals with the mathematical foundation
and framework of the subject. Some attention is given to the
historical background. Exercises are added to help readers
understand the underlying concepts. In the second part, two major
case studies are presented which exemplify the areas of
discriminant analysis and multivariate profile analysis,
respectively. To introduce these case studies, an outline is
provided of the context of magnetic plasma fusion research. In the
third part an overview is given of statistical software; separate
attention is devoted to SAS and S-PLUS. The final chapter presents
several datasets and gives a description of their physical setting.
Most of these datasets were assembled at the ASDEX Upgrade Tokamak.
All of them are accompanied by exercises in form of guided (minor)
case studies. The book concludes with translations of key concepts
into several languages.
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