Statistical Physics: An Advanced Approach with Applications

Honerkamp, Josef

ISBN 10: 3540639780 / ISBN 13: 9783540639787

Published by Springer-Verlag, Berlin, 1998

About this Item

Hardcover in very good condition. One or two minor scores on boards. Leading corners, edges and spine ends are lightly bumped and worn. Rear lower leading corner is nicked. Page block is lightly marked. Lower leading corners of pages are slightly creased. Pages are clean and text is clear throughout. HCW.

Seller Inventory # 485975

Bibliographic Details

• Title: Statistical Physics: An Advanced Approach with Applications
• Publisher: Springer-Verlag, Berlin
• Publication Date: 1998
• Language: English
• ISBN 10: 3540639780
• ISBN 13: 9783540639787
• Binding: Hardcover
• Condition: Very Good
• Book Type: Used

About this title

Synopsis

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 in two parts focusing first on the modelling of statistical systems then on the analysis of these systems. Problems with hints for solution help the students to deepen their knowledge.

From the Back Cover

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.