Paper Info
Title
A method for preserving statistical distributions subject to controlled tabular adjustment
Abstract
Controlled tabular adjustment preserves confidentiality and tabular structure. Quality-preserving controlled tabular adjustment in addition preserves parameters of the distribution of the original (unadjusted) data. Both methods are based on mathematical programming. We introduce a method for preserving the original distribution itself, a fortiori the distributional parameters. The accuracy of the approximation is measured by minimum discrimination information. MDI is computed using an optimal statistical algorithm—iterative proportional fitting.
Year
DOI
Venue
2006
10.1007/11930242_1
Privacy in Statistical Databases
Keywords
Field
DocType
distributional parameter,tabular adjustment,original distribution,mathematical programming,iterative proportional fitting,controlled tabular adjustment,optimal statistical algorithm,minimum discrimination information,tabular structure,statistical distribution,entropy,kolmogorov smirnov test
Iterative method,Algorithm,Kolmogorov–Smirnov test,Probability distribution,Iterative proportional fitting,Statistics,Mathematics,Statistical analysis
Conference
Volume
ISSN
ISBN
4302
0302-9743
3-540-49330-1
Citations 
PageRank 
References 
4
0.61
2
Authors
3
Name
Order
Citations
PageRank
Lawrence H. Cox1335.63
Jean G. Orelien281.69
Babubhai V. Shah3121.66