000 02600nam a22003975i 4500
001 305049
003 MX-SnUAN
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007 cr nn 008mamaa
008 150903s2013 gw | o |||| 0|eng d
020 _a9783642318481
_99783642318481
024 7 _a10.1007/9783642318481
_2doi
035 _avtls000359699
039 9 _a201509030616
_bVLOAD
_c201405070249
_dVLOAD
_y201402191600
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aQA276-280
100 1 _aBorg, Ingwer.
_eautor
_9302272
245 1 0 _aApplied Multidimensional Scaling /
_cby Ingwer Borg, Patrick J. F. Groenen, Patrick Mair.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2013.
300 _aIx, 113 páginas 59 ilustraciones
_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 _aSpringerBriefs in Statistics,
_x2191-544X
500 _aSpringer eBooks
505 0 _aFirst Steps -- The Purpose of MDS -- The Goodness of an MDS Solution -- Proximities -- Variants of Different MDS Models -- Confirmatory MDS -- Typical Mistakes in MDS -- MDS Algorithms -- Computer Programs for MDS.
520 _aThis book introduces MDS as a psychological model and as a data analysis technique for the applied researcher. It also discusses, in detail, how to use two MDS programs, Proxscal (a module of SPSS) and Smacof (an R-package). The book is unique in its orientation on the applied researcher, whose primary interest is in using MDS as a tool to build substantive theories. This is done by emphasizing practical issues (such as evaluating model fit), by presenting ways to enforce theoretical expectations on the MDS solution, and by discussing typical mistakes that MDS users tend to make.  The primary audience of this book are psychologists, social scientists, and market researchers. No particular background knowledge is required, beyond a basic knowledge of statistics.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aGroenen, Patrick J. F.
_eautor
_9302273
700 1 _aMair, Patrick.
_eautor
_9344027
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9783642318474
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-642-31848-1
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c305049
_d305049