A comparison of multiple imputation and data perturbation for masking numerical variables
暂无分享,去创建一个
[1] Jim Burridge,et al. Information preserving statistical obfuscation , 2003, Stat. Comput..
[2] Rathindra Sarathy,et al. A theoretical basis for perturbation methods , 2003, Stat. Comput..
[3] Jerome P. Reiter,et al. Multiple Imputation for Statistical Disclosure Limitation , 2003 .
[4] Rathindra Sarathy,et al. Perturbing Nonnormal Confidential Attributes: The Copula Approach , 2002, Manag. Sci..
[5] Jerome P. Reiter,et al. Satisfying Disclosure Restrictions With Synthetic Data Sets , 2002 .
[6] Jay-J. Kim. A METHOD FOR LIMITING DISCLOSURE IN MICRODATA BASED ON RANDOM NOISE AND , 2002 .
[7] William E. Winkler. Single-Ranking Micro-aggregation and Re-identification , 2002 .
[8] Rathindra Sarathy,et al. An Improved Security Requirement for Data Perturbation with Implications for E-Commerce , 2001, Decis. Sci..
[9] Rathindra Sarathy,et al. ISSUES IN PERTURBING NON-NORMAL, CONFIDENTIAL ATTRIBUTES , 2001 .
[10] L. Willenborg,et al. Elements of Statistical Disclosure Control , 2000 .
[11] Rathindra Sarathy,et al. A General Additive Data Perturbation Method for Database Security , 1999 .
[12] R. Clemen,et al. Correlations and Copulas for Decision and Risk Analysis , 1999 .
[13] Stephen E. Fienberg,et al. Disclosure limitation using perturbation and related methods for categorical data , 1998 .
[14] Norman S. Matloff,et al. A modified random perturbation method for database security , 1994, TODS.
[15] J. Norwood. [Enhancing Access to Microdata While Protecting Confidentiality: Prospects for the Future]: Comment , 1991 .
[16] George T. Duncan,et al. Enhancing Access to Microdata while Protecting Confidentiality: Prospects for the Future , 1991 .
[17] P. Tendick. Optimal noise addition for preserving confidentiality in multivariate data , 1991 .
[18] D. Rubin. Multiple imputation for nonresponse in surveys , 1989 .
[19] George T. Duncan,et al. Disclosure-Limited Data Dissemination , 1986 .
[20] E. L. Lehmann,et al. Theory of point estimation , 1950 .