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| 01901nam 2200313zi 4500 |
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| 001 | 9.881297 |
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| 003 | CaOODSP |
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| 005 | 20221107170018 |
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| 006 | m o d f |
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| 007 | cr cn||||||||| |
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| 008 | 191029t20092009onca ob f000 0 eng d |
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| 040 | |aCaOODSP|beng|erda|cCaOODSP |
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| 086 | 1 |aD68-5/052-2009E-PDF |
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| 100 | 1 |aEmond, E. J., |eauthor. |
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| 245 | 13|aAn OR tool for partitioning datasets into uniform segments / |cE.J. Emond, Central OR Team. |
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| 264 | 1|aOttawa ON : |bDRDC - Centre for Operational Research and Analysis, |c2009. |
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| 264 | 4|c©2009 |
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| 300 | |a1 online resource (iv, 16 pages, 2 unnumbered pages) : |bcolour illustrations. |
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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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| 490 | 1 |aTechnical note ; |vDRDC CORA TN 2009-052 |
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| 500 | |a"November 2009." |
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| 504 | |aIncludes bibliographical references (page 14). |
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| 520 | 3 |a"This report describes an operational research tool for dividing a set of scalar values into categories or clusters without having to specify the number of clusters in advance. The method has a theoretical underpinning based on a statistical test for outliers of a uniform distribution derived by D.A. Darling in 1952. The problem arose in an operational research study for the Canadian Department of National Defence in which it was necessary to segment a set of 82 options into categories based on a numerical score. The theoretical background is described and examples are given to illustrate the methodology"--Abstract, page i. |
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| 692 | 07|2gccst|aData processing |
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| 710 | 2 |aDefence R&D Canada. |bCentre for Operational Research and Analysis. |
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| 830 | #0|aTechnical note (Defence R&D Canada)|vDRDC CORA TN 2009-052.|w(CaOODSP)9.820563 |
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| 856 | 40|qPDF|s398 KB|uhttps://publications.gc.ca/collections/collection_2019/rddc-drdc/D68-5-052-2009-eng.pdf |
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