000 02419nam a22003858i 4500
001 CR9781139600347
003 UkCbUP
005 20240912185227.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 121115s2017||||enk o ||1 0|eng|d
020 _a9781139600347 (ebook)
020 _z9781107039469 (hardback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 0 0 _aQA274.9
_b.P57 2017
082 0 0 _a519.2/3
_223
100 1 _aPipiras, Vladas,
_eauthor.
245 1 0 _aLong-range dependence and self-similarity /
_cVladas Pipiras, University of North Carolina, Chapel Hill, Murad S. Taqqu, Boston University.
264 1 _aCambridge :
_bCambridge University Press,
_c2017.
300 _a1 online resource (xxiii, 668 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aCambridge series in statistical and probabilistic mathematics ;
_v45
500 _aTitle from publisher's bibliographic system (viewed on 25 May 2017).
520 _aThis modern and comprehensive guide to long-range dependence and self-similarity starts with rigorous coverage of the basics, then moves on to cover more specialized, up-to-date topics central to current research. These topics concern, but are not limited to, physical models that give rise to long-range dependence and self-similarity; central and non-central limit theorems for long-range dependent series, and the limiting Hermite processes; fractional Brownian motion and its stochastic calculus; several celebrated decompositions of fractional Brownian motion; multidimensional models for long-range dependence and self-similarity; and maximum likelihood estimation methods for long-range dependent time series. Designed for graduate students and researchers, each chapter of the book is supplemented by numerous exercises, some designed to test the reader's understanding, while others invite the reader to consider some of the open research problems in the field today.
650 0 _aSelf-similar processes.
650 0 _aTime-series analysis.
650 0 _aGaussian processes.
700 1 _aTaqqu, Murad S.,
_eauthor.
776 0 8 _iPrint version:
_z9781107039469
830 0 _aCambridge series on statistical and probabilistic mathematics ;
_v45.
856 4 0 _uhttps://doi.org/10.1017/CBO9781139600347
942 _2ddc
_cEB
999 _c10180
_d10180