LDR 02471     2200349   4500
010    _a9783642367380
       _bbr.
090    _a15399
101    _aeng
102    _aDE
100    _a20160223              frey50       
200    _aFractional fields and applications
       _bM
       _fSerge Cohen, Jacques Istas
210    _aBerlin
       _cSpringer
       _dcop. 2013
215    _a1 vol. (XII-270 p.)
       _cfig.
       _d24
225    _9170897
       _aMathématiques et applications
       _v73
       _x1154-483X
300    _aThis monograph considers fractional Brownian fields and their extensions. Starting with an introductory chapter on stochastic fields and fractal analysis the text continues with a concise discussion of self-similarity with particular emphasis on Gaussian self similar fields. Other topic are Lévy fields and their most important properties. The last two parts of the book deal with more practical issues from statistics and simulation of fractional fields.

The text is well written and should be accessible for readers with basic knowledge in probability and stochastic processes. With its wide range of different topics it closes a gap in the existing literature and will be of great use for anybody interested in the topic. (zbMath)
320    _aBibliogr. p. 263-268. Index
410    _9170896
       _aSpringer (suite d'Ellipses 1-9)
       _tMathématiques et applications
       _x1154-483X
676    _a2010
686    _20
       _9165485
       _a60G18
       _bProbability theory and stochastic processes -- Stochastic processes
       _xSelf-similar processes
686    _20
       _9165487
       _a60G22
       _bProbability theory and stochastic processes -- Stochastic processes
       _xFractional processes, including fractional Brownian motion
686    _20
       _9165439
       _a60-02
       _bProbability theory and stochastic processes
       _xResearch exposition (monographs, survey articles)
686    _20
       _9165501
       _a60G60
       _bProbability theory and stochastic processes -- Stochastic processes
       _xRandom fields
686    _20
       _9165662
       _a62M40
       _bStatistics -- Inference from stochastic processes
       _xRandom fields; image analysis
700    _4070
       _9178277
       _aCohen
       _bSerge
       _f1964-
701    _4070
       _9172745
       _aIstas
       _bJacques
       _f1966-
856    _uhttp://www.ams.org/mathscinet-getitem?mr=3088856
       _zMathSciNet
856    _uhttps://zbmath.org/?q=an:1279.60006
       _zzbMath
856    _uhttp://link.springer.com/book/10.1007/978-3-642-36739-7
       _zSpringerlink
905    _aaw
       _b2016
906    _aaw
       _b2016-02-23
001     15399
995    _f10060-01
       _xachat Erasmus
       _918378
       _cCMI
       _20
       _kSéries SMA
       _o0
       _eCouloir
       _z37.99
       _bCMI
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