| 000 | 04110nam a22004575i 4500 | ||
|---|---|---|---|
| 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 |
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| 024 | 7 |
_a10.1007/978-1-4614-3122-0 _2doi |
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| 050 | 4 | _aQA276-280 | |
| 072 | 7 |
_aPBT _2bicssc |
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| 072 | 7 |
_aPD _2bicssc |
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| 072 | 7 |
_aMAT029000 _2bisacsh |
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| 082 | 0 | 4 |
_a519.5 _223 |
| 100 | 1 |
_aMyers, Wayne L. _eauthor. |
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| 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. |
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| 300 |
_aXVIII, 297p. 145 illus., 1 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 1 |
_aEnvironmental and Ecological Statistics ; _v6 |
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| 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. |
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| 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 |
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