000			04762cam a2200553 i 4500
001			895388667
003			OCoLC
005			20250131152810.0
006			m o d
007			cr |||||||||||
008			141113s2014 nju ob 001 0 eng
019			_a909814499 _a927508506
020			_a9781118575536 _q(ePub)
020			_a1118575539 _q(ePub)
020			_a9781118575482 _q(Adobe PDF)
020			_a1118575482 _q(Adobe PDF)
020			_a9781118575574
020			_a1118575571
020			_z9780471697558 _q(cloth)
028	0	1	_aEB00607363 _bRecorded Books
035			_a(OCoLC)895388667 _z(OCoLC)909814499 _z(OCoLC)927508506
040			_aDLC _beng _erda _epn _cDLC _dOCLCF _dN$T _dDG1 _dRECBK _dOCLCQ _dEBLCP
042			_apcc
050	0	0	_aQA276.8
072		7	_aMAT _x003000 _2bisacsh
072		7	_aMAT _x029000 _2bisacsh
100	1		_aScott, David W., _d1950- _0http://id.loc.gov/authorities/names/n91118805
245	1	0	_aMultivariate density estimation : _btheory, practice, and visualization / _cDavid W. Scott
250			_aSecond edition
264		1	_aHoboken, New Jersey : _bWiley, _c[2014]
300			_a1 online resource
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	1		_aWiley series in probability and statistics
504			_aIncludes bibliographical references and index
506			_aAvailable to OhioLINK libraries
520			_aClarifies modern data analysis through nonparametric density estimation for a complete working knowledge of the theory and methods Featuring a thoroughly revised presentation, Multivariate Density Estimation: Theory, Practice, and Visualization, Second Edition maintains an intuitive approach to the underlying methodology and supporting theory of density estimation. Including new material and updated research in each chapter, the Second Edition presents additional clarification of theoretical opportunities, new algorithms, and up-to-date coverage of the unique challenges presented in the field of data analysis. The new edition focuses on the various density estimation techniques and methods that can be used in the field of big data. Defining optimal nonparametric estimators, the Second Edition demonstrates the density estimation tools to use when dealing with various multivariate structures in univariate, bivariate, trivariate, and quadrivariate data analysis. Continuing to illustrate the major concepts in the context of the classical histogram, Multivariate Density Estimation: Theory, Practice, and Visualization, Second Edition also features: -Over 150 updated figures to clarify theoretical results and to show analyses of real data sets -An updated presentation of graphic visualization using computer software such as R -A clear discussion of selections of important research during the past decade, including mixture estimation, robust parametric modeling algorithms, and clustering -More than 130 problems to help readers reinforce the main concepts and ideas presented -Boxed theorems and results allowing easy identification of crucial ideas -Figures in color in the digital versions of the book -A website with related data sets Multivariate Density Estimation: Theory, Practice, and Visualization, Second Edition is an ideal reference for theoretical and applied statisticians, practicing engineers, as well as readers interested in the theoretical aspects of nonparametric estimation and the application of these methods to multivariate data. The Second Edition is also useful as a textbook for introductory courses in kernel statistics, smoothing, advanced computational statistics, and general forms of statistical distributions
650		0	_aEstimation theory. _0http://id.loc.gov/authorities/subjects/sh85044957 _92404
650		0	_aMultivariate analysis. _0http://id.loc.gov/authorities/subjects/sh85088390 _9316
655		4	_aElectronic books _92032
710	2		_aOhio Library and Information Network. _0http://id.loc.gov/authorities/names/no95058981
776	0	8	_iPrint version: _aScott, David W., 1950- _tMultivariate density estimation. _bSecond edition. _dHoboken, New Jersey : John Wiley & Sons, Inc., [2014] _z9780471697558 _w(DLC) 2014043897
830		0	_aWiley series in probability and statistics. _0http://id.loc.gov/authorities/names/n98048834
856	4	0	_3OhioLINK _zConnect to resource _uhttps://rave.ohiolink.edu/ebooks/ebc2/9781118575574
856	4	0	_3Wiley Online Library _zConnect to resource _uhttps://onlinelibrary.wiley.com/doi/book/10.1002/9781118575574
856	4	0	_3Wiley Online Library _zConnect to resource (off-campus) _uhttps://go.ohiolink.edu/goto?url=https://onlinelibrary.wiley.com/doi/book/10.1002/9781118575574
999			_c200463866 _d82078