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001 978-1-4614-3122-0
003 DE-He213
005 20140220083246.0
007 cr nn 008mamaa
008 130220s2012 xxu| s |||| 0|eng d
020 _a9781461431220
_9978-1-4614-3122-0
024 7 _a10.1007/978-1-4614-3122-0
_2doi
050 4 _aQA276-280
072 7 _aPBT
_2bicssc
072 7 _aPD
_2bicssc
072 7 _aMAT029000
_2bisacsh
082 0 4 _a519.5
_223
100 1 _aMyers, Wayne L.
_eauthor.
245 1 0 _aMultivariate Methods of Representing Relations in R for Prioritization Purposes
_h[electronic resource] :
_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, 297p. 145 illus., 1 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aEnvironmental and Ecological Statistics ;
_v6
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.  
650 0 _aStatistics.
650 1 4 _aStatistics.
650 2 4 _aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
650 2 4 _aStatistics for Life Sciences, Medicine, Health Sciences.
700 1 _aPatil, Ganapati P.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781461431213
830 0 _aEnvironmental and Ecological Statistics ;
_v6
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4614-3122-0
912 _aZDB-2-EES
999 _c101306
_d101306