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Application of a Statistical Disclosure Control Techniques Based on Multiplicative Noise
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 Title & Authors
Application of a Statistical Disclosure Control Techniques Based on Multiplicative Noise
Kim, Young-Won; Kim, Tae-Yeon; Ki, Kye-Nam;
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 Abstract
Multiplicative noise model is the one of popular method for masking continuous variables. In this paper, we propose the transformation on the variable to which random noise was multiplied. An advantage of the masking method using proposed transformation is that the masking data users can obtain the unbiased values of mean and variance of original (unmasked) data. We also consider the data utility and correlation structure of variables when we apply the proposed multiplicative noise scheme. To investigate the properties of the method of masking based on multiplicative noise, a simulation study has been conducted using the 2008 Householder Income and Expenditure Survey data.
 Keywords
Data utility;disclosure risk;multiplicative noise model;statistical disclosure control;
 Language
Korean
 Cited by
1.
Study on a Measurement of Disclosure Risk of Microdata by Similarity,;;;

응용통계연구, 2012. vol.25. 5, pp.743-755 crossref(new window)
2.
확률화응답기법을 이용한 연속형 변수의 마스킹 방법,김현지;손창균;

Journal of the Korean Data Analysis Society, 2015. vol.17. 4B, pp.1957-1967
1.
Study on a Measurement of Disclosure Risk of Microdata by Similarity, Korean Journal of Applied Statistics, 2012, 25, 5, 743  crossref(new windwow)
2.
Empirical likelihood for nonlinear models with missing responses, Journal of Statistical Computation and Simulation, 2013, 83, 4, 739  crossref(new windwow)
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Estimating nonlinear regression with and without change-points by the LAD method, Annals of the Institute of Statistical Mathematics, 2011, 63, 4, 717  crossref(new windwow)
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Penalized least absolute deviations estimation for nonlinear model with change-points, Statistical Papers, 2011, 52, 2, 371  crossref(new windwow)
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Least absolute value regression: recent contributions, Journal of Statistical Computation and Simulation, 2005, 75, 4, 263  crossref(new windwow)
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