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010   $a9786610411078
010   $a9781280411076
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035   $a(OCoLC)71521126
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100   $a20060126d2006      uy         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aStatistical matching $etheory and practice /$fMarcello D'Orazio, Marco Di Zio and Mauro Scanu
210   $aChichester, England ;$aHoboken, NJ $cWiley$dc2006
215   $a1 online resource (270 p.)
225 1 $aWiley series in survey methodology
300   $aDescription based upon print version of record.
311 08$a9780470023532 
311 08$a0470023538 
320   $aIncludes bibliographical references (p. [245]-252) and index.
327   $aThe statistical matching problem -- The conditional independence assumption -- Auxiliary information -- Uncertainty in statistical matching -- Statistical matching and finite populations -- Issues in preparing for statistical matching -- Applications.
330   $aThere is more statistical data produced in today's modern society than ever before. This data is analysed and cross-referenced for innumerable reasons. However, many data sets have no shared element and are harder to combine and therefore obtain any meaningful inference from. Statistical matching allows just that; it is the art of combining information from different sources (particularly sample surveys) that contain no common unit. In response to modern influxes of data, it is an area of rapidly growing interest and complexity. Statistical Matching: Theory and Practice introduces the b
410  0$aWiley series in survey methodology.
606   $aStatistical matching
615  0$aStatistical matching.
676   $a519.5/2
686   $a31.73$2bcl
700   $aD'Orazio$b Marcello$0300116
701   $aDi Zio$b Marco$0300117
701   $aScanu$b Mauro$0150830
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9911019571903321
996   $aStatistical matching$9725650
997   $aUNINA