000 04048nam a22003855i 4500
001 289095
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007 cr nn 008mamaa
008 150903s2012 xxu| o |||| 0|eng d
020 _a9781461431220
_99781461431220
024 7 _a10.1007/9781461431220
_2doi
035 _avtls000340905
039 9 _a201509030828
_bVLOAD
_c201404300422
_dVLOAD
_y201402061046
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aQA276-280
100 1 _aMyers, Wayne L.
_eautor
_9304788
245 1 0 _aMultivariate Methods of Representing Relations in R for Prioritization Purposes :
_bSelective Scaling, Comparative Clustering, Collective Criteria and Sequenced Sets /
_cby Wayne L. Myers, Ganapati P. Patil.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2012.
300 _axviii, 297 páginas 145 ilustraciones, 1 ilustraciones en color.
_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 _aEnvironmental and Ecological Statistics ;
_v6
500 _aSpringer eBooks
505 0 _aMotivation and Computation -- Part I: Synergistic Scalings, Contingent Clustering and Distance Domains -- Suites of Scalings -- Rotational Rescaling and Disposable Dimensions -- Comparative Clustering for Contingent Collectives -- Distance Domains, Skeletal Structures and Representative Ranks -- Part II: Precedence and Progressive Prioritization -- Ascribed Advantage, Subordination Schematic and ORDIT Ordering -- Precedence Plots, Coordinated Crite4ria and Rank Relations -- Case Comparisons and Precedence Pools -- Distal Data and Indicator Interactions -- Landscape Linkage for Prioritizing Proximate Patches -- Constellations of Criteria -- Severity Setting for Human Health -- Part III: Transformation Techniques and Virtual Variates -- Matrix Methods for Multiple Measures -- Segregating Sets Along Directions of Discrimination -- Index.
520 _aThis monograph is a four-fold featuring of adaptive analysis. · First is data distillation and comparative coupling whereby the results of one analysis are fed forward into another analysis without necessarily returning directly to the original data matrix, and analytical avenues usually seen as alternatives are pursued in parallel with results being carried forward together as complementary comparatives. · Second is the flexibility and suitability of the R© statistical software system for engaging in such adaptive and conjunctive statistical strategies.  The intention is to provide an extensive entry into the realms of R using exploration by example whereby a demonstrative dataset of manageably moderate size is carried comparatively though the sequence of sections. · Third is a major mission to introduce innovative methodologies for preliminary and/or partial prioritization that arise from partial order theory.  We formulate functions in R that provide for generation and visualization of partial orderings based on combinations of criteria.  These methods support etiological exploration for explanations that underlie apparent concurrence or conflict among multiple indicators of suitability or severity. Fourth is delving more deeply into some multivariate methods such as principal components using the matrix methods available in R.  R makes highly compact calls available for several such multivariate methods, but sometimes discernment demands delving into details.  
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aPatil, Ganapati P.
_eautor
_9300936
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9781461431213
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-4614-3122-0
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c289095
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