000			03543cam a22004937a 4500
001			16721567
003			BD-DhUL
005			20140909105051.0
008			110405s2011 nyua b 001 0 eng d
010			_a 2011926793
020			_a9781441996497
020			_a1441996494
020			_a9781441996503
020			_a1441996508
035			_a(OCoLC)ocn732344476
040			_aLTSCA _cLTSCA _dCDX _dYDXCP _dBWX _dDEBBG _dVRC _dUBY _dDLC _dBD-DhUL
042			_alccopycat
050	0	0	_aQA278 _b.E87 2011
082	0	4	_a519.535 _222 _bEVI
084			_aST 601 _2rvk
084			_aSK 830 _2rvk
100	1		_aEveritt, Brian.
245	1	3	_aAn introduction to applied multivariate analysis with R / _cBrian Everitt, Torsten Hothorn.
260			_aNew York : _bSpringer, _cc2011.
300			_axiv, 273 p. : _bill. ; _c24 cm.
365			_aEURO _b49.95
490	1		_aUse R!
504			_aIncludes bibliographical references (p. 259-269) and index.
505	0		_aMultivariate data and multivariate analysis -- Looking at multivariate data: visualisation -- Principal components analysis -- Multidimensional scaling -- Exploratory factor analysis -- Cluster analysis -- Confirmatory factor analysis and structural equation models -- The analysis of repeated measures data.
520			_a"The majority of data sets collected by researchers in all disciplines are multivariate, meaning that several measurements, observations, or recordings are taken on each of the units in the data set. These units might be human subjects, archaeological artifacts, countries, or a vast variety of other things. In a few cases, it may be sensible to isolate each variable and study it separately, but in most instances all the variables need to be examined simultaneously in order to fully grasp the structure and key features of the data. For this purpose, one or another method of multivariate analysis might be helpful, and it is with such methods that this book is largely concerned. Multivariate analysis includes methods both for describing and exploring such data and for making formal inferences about them. The aim of all the techniques is, in general sense, to display or extract the signal in the data in the presence of noise and to find out what the data show us in the midst of their apparent chaos. An Introduction to Applied Multivariate Analysis with R explores the correct application of these methods so as to extract as much information as possible from the data at hand, particularly as some type of graphical representation, via the R software. Throughout the book, the authors give many examples of R code used to apply the multivariate techniques to multivariate data."--Publisher's description.
650		0	_aMultivariate analysis _xData processing.
650		0	_aR (Computer program language)
650	0	7	_aMultivariate Analyse. _2swd
650	0	7	_aR (Programm) _2swd
700	1		_aHothorn, Torsten.
830		0	_aUse R!
856	4	2	_3Contributor biographical information _uhttp://www.loc.gov/catdir/enhancements/fy1304/2011926793-b.html
856	4	2	_3Publisher description _uhttp://www.loc.gov/catdir/enhancements/fy1304/2011926793-d.html
856	4	1	_3Table of contents only _uhttp://www.loc.gov/catdir/enhancements/fy1304/2011926793-t.html
906			_a7 _bcbc _ccopycat _d2 _encip _f20 _gy-gencatlg
942			_2ddc _cBK
955			_bxh14 2012-06-27 z-processor _ixh14 2012-06-27 2 copies to BCCD
955			_apc17 2011-04-05 _axh00 2011-10-21 to USPL/STM _axh00 2011-12-09 added copies to USPL/STM _axh06 2012-01-13 to STM
999			_c9047 _d9047