000 03474nam a22004815i 4500
001 978-3-642-28684-1
003 DE-He213
005 20140220083313.0
007 cr nn 008mamaa
008 120618s2012 gw | s |||| 0|eng d
020 _a9783642286841
_9978-3-642-28684-1
024 7 _a10.1007/978-3-642-28684-1
_2doi
050 4 _aQC174.7-175.36
072 7 _aPHS
_2bicssc
072 7 _aPHDT
_2bicssc
072 7 _aSCI055000
_2bisacsh
082 0 4 _a621
_223
100 1 _aHonerkamp, Josef.
_eauthor.
245 1 0 _aStatistical Physics
_h[electronic resource] :
_bAn Advanced Approach with Applications /
_cby Josef Honerkamp.
250 _a3rd ed. 2012.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2012.
300 _aXIV, 553 p. 140 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aGraduate Texts in Physics,
_x1868-4513
505 0 _aStatistical 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.
520 _aThe 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.
650 0 _aPhysics.
650 0 _aMathematical physics.
650 1 4 _aPhysics.
650 2 4 _aStatistical Physics, Dynamical Systems and Complexity.
650 2 4 _aMathematical Methods in Physics.
650 2 4 _aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642286834
830 0 _aGraduate Texts in Physics,
_x1868-4513
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-28684-1
912 _aZDB-2-PHA
999 _c102865
_d102865