Statistical Physics: An Advanced Approach with Applications - Web-enhanced with Problems and Solutions (Advanced Texts in Physics) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.

Codice articolo 7719-9783540430209

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Dati bibliografici

Titolo

Statistical Physics: An Advanced Approach with Applications - Web-enhanced with Problems and Solutions (Advanced Texts in Physics)

Editore

Data di pubblicazione

2002

Lingua

Inglese

ISBN 10

3540430202

ISBN 13

9783540430209

Rilegatura

hardcover

Edizione

seconda edizione

Condizione

Very Good

Cataloghi dei venditori

Descrizione articolo

Riassunto

The book is divided into two parts. The first part looks at the modeling of statistical systems before moving on to an analysis of these systems. This second edition contains new material on: estimators based on a probability distribution for the parameters; identification of stochastic models from observations; and statistical tests and classification methods.

Dalla quarta di copertina

The application of statistical methods to physics is essential. This unique book on statistical physics offers an advanced approach with numerous applications to the modern problems students are confronted with. Therefore the text contains more concepts and methods in statistics than the student would need for statistical mechanics alone. Methods from mathematical statistics and stochastics for the analysis of data are discussed as well. The book is divided into two parts, focusing first on the modeling of statistical systems and then on the analysis of these systems. Problems with hints for solution help the students to deepen their knowledge. The second edition has been updated and enlarged with new material on estimators based on a probability distribution for the parameters, identification of stochastic models from observations, and statistical tests and classification methods (Chaps. 10-12). Moreover, a customized set of problems with solutions is accessible on the Web. The author teaches and conducts research on stochastic dynamical systems at the University of Freiburg, Germany.

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