Statistical Physics - neues Buch

EAN (ISBN-13): 9783642286841
ISBN (ISBN-10): 3642286844
Erscheinungsjahr: 2012
Herausgeber: Springer Lehrbuch
553 Seiten
Sprache: eng/Englisch

Buch in der Datenbank seit 2012-08-29T15:12:32+02:00 (Berlin)
Detailseite zuletzt geändert am 2023-09-23T21:21:20+02:00 (Berlin)
ISBN/EAN: 9783642286841

ISBN - alternative Schreibweisen:
3-642-28684-4, 978-3-642-28684-1
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: josef honerkamp, höne, hone
Titel des Buches: statistica, statistical physics, physic

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Daten vom Verlag:

Autor/in: Josef Honerkamp
Titel: Graduate Texts in Physics; Statistical Physics - An Advanced Approach with Applications
Verlag: Springer; Springer Berlin
554 Seiten
Erscheinungsjahr: 2012-06-19
Berlin; Heidelberg; DE
Sprache: Englisch
53,49 € (DE)
55,00 € (AT)
59,00 CHF (CH)
Available
XIV, 554 p.

EA; E107; eBook; Nonbooks, PBS / Physik, Astronomie/Theoretische Physik; Kybernetik und Systemtheorie; Verstehen; Data Analysis Statistical Physics; Hidden Stochastic Model; Modeling Statistical Systems; Signal Analysis Spectrum; Statistical test Method; Textbook Data Analysis; Textbook Statistical Mechanics; Textbook Statistical Physics; C; Complex Systems; Mathematical Methods in Physics; Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Theoretical, Mathematical and Computational Physics; Physics and Astronomy; Mathematische Physik; Wahrscheinlichkeitsrechnung und Statistik; BB

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.

Statistical Physics is more than Statistical Mechanics.- Part I: 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.- Part II: 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.- Appendix: Random Number Generation for Simulating Realizations of Random Variables.- Problems.- Hints and Solutions.

From the book reviews:

“The book is carefully divided into two parts. The first part deals with modeling of statistical systems. The second part is devoted to the analysis of the respective systems. … followed by a section that offers helpful hints and solutions to problems throughout the text, making it easier for students to deepen their understanding and confidence in their newfound knowledge. … topics in each chapter are carefully selected and are well presented, making it a reliable reference for ‘statistical physics.’” (Technometrics, Vol. 55 (2), May, 2013)

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.

Focuses on concepts and methods in statistics, giving detailed insight in analyzing physical data Provides an thorough introduction to statistical physics with an emphasis on the analysis of statistical systems Includes advanced topics, reference lists, problems with solutions and boxed inserts, making it an invaluable source for students, even after completion of the course The introduction to filters, wavelets and many practical and concrete algorithms close a noticeable gap left open by other textbooks Third edition offers 50 pages of new material, especially on data-analysis, Gillespie-algorithm, Kaiman filters, plus new problems with solutions Covers all modern applications of statistics Includes supplementary material: sn.pub/extras