Statistical Physics An Advanced Approach with Applications / by Josef Honerkamp.

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 wou...

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Bibliographic Details
Main Author: Honerkamp, Josef (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1998.
Edition:1st ed. 1998.
Series:Springer eBook Collection.
Subjects:
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.

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505 0 |a 1. Statistical Physics Is More than Statistical Mechanics -- I. Modeling of Statistical Systems -- 2. Random Variables: Fundamentals of Probability Theory and Statistics -- 3. Random Variables in State Space: Classical Statistical Mechanics of Fluids -- 4. Random Fields: Textures and Classical Statistical Mechanics of Spin Systems -- 5. Time-Dependent Random Variables: Classical Stochastic Processes -- 6. Quantum Random Systems -- 7. Changes of External Conditions -- II. Analysis of Statistical Systems -- 8. Estimation of Parameters -- 9. Signal Analysis: Estimation of Spectra -- 10. Inverse Problems: Estimation of Distributions -- Appendix: Random Number Generation for Simulating Realizations of Random Variables -- Problems -- Hints and Solutions -- References. 
520 |a 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 needed 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. 
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