000097850 001 __ 97850
000097850 005 __20141121170920.0
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000097850 035 __ $9 articleid $a 16962281vSpecialp99
000097850 041 __ $a eng
000097850 100 __ $a Oganian, Anna $u Georgia Southern University
000097850 245 1_ $a Multiplicative noise for masking numerical microdata with constraints
000097850 520 3_ $a Before releasing databases which contain sensitive information about individuals, statistical agencies have to apply Statistical Disclosure Limitation (SDL) methods to such data. The goal of these methods is to minimize the risk of disclosure of the confidential information and at the same time provide legitimate data users with accurate information about the population of interest. SDL methods applicable to the microdata (i.e. collection of individual records) are often called masking methods. In this paper, several multiplicative noise masking schemes are presented. These schemes are designed to preserve positivity and inequality constraints in the data together with the vector of means and covariance matrix.
000097850 540 __ $9 info:eu-repo/semantics/openAccess $a Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades. $u http://creativecommons.org/licenses/by-nc-nd/3.0/es/
000097850 546 __ $a Anglès
000097850 599 __ $a recerca
000097850 653 1_ $a Statistical disclosure limitation (SDL)
000097850 653 1_ $a SDL method
000097850 653 1_ $a Multiplicative noise
000097850 653 1_ $a Positivity and inequality constraints
000097850 655 _4 $a info:eu-repo/semantics/article
000097850 655 _4 $a info:eu-repo/semantics/publishedVersion
000097850 773 __ $g Vol. Special, Núm.  (2011), p. 99-112 $t SORT : statistics and operations research transactions $x 1696-2281
000097850 856 40 $p 14 $s 308278 $u http://ddd.uab.cat/uab/sort/sort_a2011vSPECIAL/sort_a2011nSPECIALp99.pdf
000097850 973 __ $f 0099 $l 112 $m  $n  $v Special $x sort_a2011vSPECIAL $y 2011
000097850 980 __ $a ARTPUB $b SORT $b UAB