02596nam 22005894a 450 991014357730332120170815115453.01-280-41107-497866104110780-470-02355-40-470-02354-6(CKB)1000000000357207(EBL)255716(OCoLC)71521126(SSID)ssj0000251062(PQKBManifestationID)11238814(PQKBTitleCode)TC0000251062(PQKBWorkID)10247189(PQKB)11635334(MiAaPQ)EBC255716(EXLCZ)99100000000035720720060126d2006 uy 0engur|n|---|||||txtccrStatistical matching[electronic resource] theory and practice /Marcello D'Orazio, Marco Di Zio and Mauro ScanuChichester, England ;Hoboken, NJ Wileyc20061 online resource (270 p.)Wiley series in survey methodologyDescription based upon print version of record.0-470-02353-8 Includes bibliographical references (p. [245]-252) and index.The 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.There 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 bWiley series in survey methodology.Statistical matchingElectronic books.Statistical matching.519.531.73bclD'Orazio Marcello300116Di Zio Marco300117Scanu Mauro150830MiAaPQMiAaPQMiAaPQBOOK9910143577303321Statistical matching725650UNINA