000			03352nam a22004935i 4500
001			978-3-642-21551-3
003			DE-He213
005			20140220083258.0
007			cr nn 008mamaa
008			120705s2012 gw | s |||| 0|eng d
020			_a9783642215513 _9978-3-642-21551-3
024	7		_a10.1007/978-3-642-21551-3 _2doi
050		4	_aQA276-280
072		7	_aUFM _2bicssc
072		7	_aCOM077000 _2bisacsh
082	0	4	_a519.5 _223
100	1		_aGentle, James E. _eeditor.
245	1	0	_aHandbook of Computational Statistics _h[electronic resource] : _bConcepts and Methods / _cedited by James E. Gentle, Wolfgang Karl Härdle, Yuichi Mori.
250			_a2nd ed. 2012. revised and updated.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2012.
300			_aXII, 1192 p. 297 illus., 96 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aSpringer Handbooks of Computational Statistics
505	0		_aPart I  Computational Statistics -- Part II  Statistical Computing -- Part III  Statistical Methodology -- Part IV  Selected Applications.
520			_aThe Handbook of Computational Statistics - Concepts and Methods (second edition) is a revision of the first edition published in 2004, and contains additional comments and updated information on the existing chapters, as well as three new chapters addressing recent work in the field of computational statistics.   This new edition is divided into 4 parts in the same way as the first edition. It begins with "How Computational Statistics became the backbone of modern data science" (Ch.1): an overview of the field of Computational Statistics, how it emerged as a separate discipline, and how its own development mirrored that of hardware and software, including a discussion of current active research. The second part (Chs. 2 - 15) presents several topics in the supporting field of statistical computing. Emphasis is placed on the need for fast and accurate numerical algorithms, and some of the basic methodologies for transformation, database handling, high-dimensional data and graphics treatment are discussed. The third part (Chs. 16 - 33) focuses on statistical methodology. Special attention is given to smoothing, iterative procedures, simulation and visualization of multivariate data. Lastly, a set of selected applications (Chs. 34 - 38) like Bioinformatics, Medical Imaging, Finance, Econometrics and Network Intrusion Detection highlight the usefulness of computational statistics in real-world applications.
650		0	_aStatistics.
650		0	_aMathematical statistics.
650	1	4	_aStatistics.
650	2	4	_aStatistics and Computing/Statistics Programs.
650	2	4	_aStatistics, general.
650	2	4	_aStatistical Theory and Methods.
700	1		_aHärdle, Wolfgang Karl. _eeditor.
700	1		_aMori, Yuichi. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642215506
830		0	_aSpringer Handbooks of Computational Statistics
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-642-21551-3
912			_aZDB-2-SMA
999			_c101987 _d101987