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020 _a9781846281242
_99781846281242
024 7 _a10.1007/b138954
_2doi
035 _avtls000343668
039 9 _a201509030434
_bVLOAD
_c201405070516
_dVLOAD
_y201402061201
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aQA276-280
100 1 _aEveritt, Brian Sidney.
_eautor
_9323302
245 1 3 _aAn R and S-PLUS® Companion to Multivariate Analysis /
_cby Brian Sidney Everitt.
264 1 _aLondon :
_bSpringer London :
_bImprint: Springer,
_c2005.
300 _axiii, 221 páginas
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aSpringer Texts in Statistics,
_x1431-875X
500 _aSpringer eBooks
505 0 _aMultivariate Data and Multivariate Analysis -- Looking at Multivariate Data -- Principal Components Analysis -- Exploratory Factor Analysis -- Multidimensional Scaling and Correspondence Analysis -- Cluster Analysis -- Grouped Multivariate Data: Multivariate Analysis of Variance and Discriminant Function Analysis -- Multiple Regression and Canonical Correlation -- Analysis of Repeated Measures Data.
520 _aMost data sets collected by researchers are multivariate, and in the majority of cases the variables need to be examined simultaneously to get the most informative results. This requires the use of one or other of the many methods of multivariate analysis, and the use of a suitable software package such as S-PLUS or R. In this book the core multivariate methodology is covered along with some basic theory for each method described. The necessary R and S-PLUS code is given for each analysis in the book, with any differences between the two highlighted. A website with all the datasets and code used in the book can be found at http://biostatistics.iop.kcl.ac.uk/publications/everitt/. Graduate students, and advanced undergraduates on applied statistics courses, especially those in the social sciences, will find this book invaluable in their work, and it will also be useful to researchers outside of statistics who need to deal with the complexities of multivariate data in their work. Brian Everitt is Emeritus Professor of Statistics, King’s College, London.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9781852338824
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/b138954
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999 _c291842
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