Statistical physics: an advanced approach with applications
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…
Read More ↓Title Statements
- Full title :Statistical physics : an advanced approach with applications / Josef Honerkamp ; with collaboration of Björn Schelter.
Summary
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.
Read More ↓Edition Statements
- Publication Date:©2012.
- Edition:3rd ed
Publication Statements
- Publisher(s):Springer
- Place of Publication:Berlin
- Language:eng
- Publication Date:©2012.
The Physical Object
- Description:1 online resource.
Edition Identifiers
- ISBN:9783642286841, 3642286844
- DOI:10.1007/978-3-642-28684-1
- oclc:ocn905285666
- Dewey Decimal:530.15
Table of Contents
Part 1. Modeling of Statistical Systems -- Random Variables: Fundamentals of Probability Theory and Statistics -- Random Variables in State Space: Classical Statistical Mechanics of Fluids -- Random Fields: Textures and Classical Statistical Mechanics of Spin Systems -- Time-Dependent Random Variables: Classical Stochastic Processes -- Quantum Random Systems -- Changes of External Conditions -- Statistical Physics Is More than Statistical Mechanics -- Part 2. Analysis of Statistical Systems -- Estimation of Parameters -- Signal Analysis: Estimation of Spectra -- Estimators Based on a Probability Distribution for the Parameters -- Identification of Stochastic Models from Observations -- Estimating the Parameters of a Hidden Stochastic Model -- Statistical Tests and Classification Methods.
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