Volume 13, Issue 4 | Statistics and Computing

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Volume 13, Issue 4

October 2003

Special Issue on Confidentiality

12 articles in this issue

Guest editorial: Introduction
Leon Willenborg
Editorial Introduction Pages: 291 - 293
Spatial and non-spatial model-based protection procedures for the release of business microdata
Luisa Franconi
Julian Stander
OriginalPaper Pages: 295 - 305
Maximum entropy simulation for microdata protection
Silvia Polettini
OriginalPaper Pages: 307 - 320
Information preserving statistical obfuscation
Jim Burridge
OriginalPaper Pages: 321 - 327
A theoretical basis for perturbation methods
Krishnamurty Muralidhar
Rathindra Sarathy
OriginalPaper Pages: 329 - 335
A comment on “A theoretical basis for perturbation methods” by Krishnamurty Muralidhar and Rathindra Sarathy
Silvia Polettini
Julian Stander
OriginalPaper Pages: 337 - 338
A rejoinder to the comments by Polettini and Stander
Krishnamurty Muralidhar
Rathindra Sarathy
OriginalPaper Pages: 339 - 342
Disclosure risk assessment in statistical microdata protection via advanced record linkage
Josep Domingo-Ferrer
Vicenç Torra
OriginalPaper Pages: 343 - 354
Source Data Perturbation and consistent sets of safe tables
Menno Cuppen
Leon Willenborg
OriginalPaper Pages: 355 - 362
Preserving confidentiality of high-dimensional tabulated data: Statistical and computational issues
Adrian Dobra
Alan F. Karr
Ashish P. Sanil
OriginalPaper Pages: 363 - 370
Model Diagnostics for Remote Access Regression Servers
Jerome P. Reiter
OriginalPaper Pages: 371 - 380
Remote access systems for statistical analysis of microdata
Barry Schouten
Marc Cigrang
OriginalPaper Pages: 381 - 389