Statistical Physics
An Advanced Approach with Applications
Nonfiction, Science & Nature, Science, Physics, Mathematical Physics, General Physics
| Author: | Josef Honerkamp | ISBN: | 9783642286841 |
| Publisher: | Springer Berlin Heidelberg | Publication: | June 19, 2012 |
| Imprint: | Springer | Language: | English |
| Author: | Josef Honerkamp |
| ISBN: | 9783642286841 |
| Publisher: | Springer Berlin Heidelberg |
| Publication: | June 19, 2012 |
| Imprint: | Springer |
| Language: | English |
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 third edition has been updated and enlarged with new sections deepening the knowledge about data analysis. Moreover, a customized set of problems with solutions is accessible on the Web at extras.springer.com.
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 third edition has been updated and enlarged with new sections deepening the knowledge about data analysis. Moreover, a customized set of problems with solutions is accessible on the Web at extras.springer.com.
