Statistical physics An advanced approach with applications ; with 7 tables and 59 problems with solutions

Honerkamp, Josef

ISBN 10: 3540639780 / ISBN 13: 9783540639787

Published by Springer, Berlin ; Heidelberg ; Tokyo ; New York ; Barcelona, 1998

About this Item

24 cm XI, 410 S. Orig.-Pappband. graph. Darst. Gutes Exemplar.

Seller Inventory # 31098

Bibliographic Details

• Title: Statistical physics An advanced approach with applications ; with 7 tables and 59 problems with solutions
• Publisher: Springer, Berlin ; Heidelberg ; Tokyo ; New York ; Barcelona
• Publication Date: 1998
• Language: English
• ISBN 10: 3540639780
• ISBN 13: 9783540639787
• Binding: Pappband
• Condition: Gut
• Weight: 1000 grams
• Seller catalogs:
  • Mathematik

About this title

Synopsis

This text 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 that 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 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.