© 2005
Classical Methods of Statistics
With Applications in Fusion-Oriented Plasma Physics
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© 2005
Classical Methods of Statistics is a blend of theory and practical statistical methods written for graduate students and researchers interested in applications to plasma physics and its experimental aspects. It can also fruitfully be used by students majoring in probability theory and statistics. In the first part, the mathematical framework and some of the history of the subject are described. Many exercises help readers to understand the underlying concepts. In the second part, two case studies are presented exemplifying discriminant analysis and multivariate profile analysis. The introductions of these case studies outline contextual magnetic plasma fusion research. In the third part, an overview of statistical software is given and, in particular, SAS and S-PLUS are discussed. In the last chapter, several datasets with guided exercises, predominantly from the ASDEX Upgrade tokamak, are included and their physical background is concisely described. The book concludes with a list of essential keyword translations.
From the reviews:
"This monograph presents a selection of fundamental ideas and procedures in probability theory and statistics … . The monograph is intended for self-instruction. Some exercises meant for monitoring the reader’s understanding and progress are distributed throughout … . A genuine contribution of this monograph is … presenting experimental data from plasma physics." (Stephan Morgenthaler, Mathematical Reviews, Issue 2006 j)
"The book written in a very mature level and in a characteristic style that in the opinion of the reviewer, very few statistics books reach this height in terms of conciseness and clarity. … there is an impressive references to 754 scientific publications … which includes around 300 references exclusively in the area of probability and statistics. … The reviewer found it extremely gratifying to read this book and therefore recommends its permanent place in the book shelf of most statisticians as a reference text." (B. K. Sinha, Sankhya, Vol. 68 (1), 2006)