Statistical disclosure control via sufficiency under the multiple linear regression model
Author:
Affiliation:
1. Center for Statistical Research and Methodology, U.S. Census Bureau, Washington, D.C., USA
2. Department of Statistics, University of Georgia, Athens, Georgia, USA
Publisher
Springer Science and Business Media LLC
Subject
Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/15598608.2017.1350606
Reference16 articles.
1. Casella, G., and R. L. Berger. 2002.Statistical inference, 2nd ed. Pacific Grove, CA: Duxbury.
2. Synthetic Datasets for Statistical Disclosure Control
3. Noise Multiplication for Statistical Disclosure Control of Extreme Values in Log-normal Regression Samples
4. Lehmann, E. L., and J. P. Romano. 2005.Testing statistical hypotheses, 3rd ed. New York, NY: Springer.
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