Disclosure-protected Inference Using Generalised Linear Models-Reference-Cited by-同舟云学术

Disclosure-protected Inference Using Generalised Linear Models

Published:2014-08-04 Issue:3 Volume:82 Page:371-391
ISSN:0306-7734
Container-title:International Statistical Review
language:en
Short-container-title:International Statistical Review

Author:

Chipperfield James O.¹,O'Keefe Christine M.²

Affiliation:

1. Australian Bureau of Statistics; Canberra, ACT 2617 Australia

2. CSIRO Computational Informatics; Canberra, ACT 2601 GPO Box 664 Australia

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/insr.12054/fullpdf

Reference33 articles.

1. Remote Data Access and the Risk of Disclosure from Linear Regression: An Empirical Study

2. Brandt , M. Franconi , L. Gurke , C. Hundepool , A. Lucarelli , M. Mol , J. Welpton , R. 2010 Guidelines for the checking of outputs based on microdata research 1 34 The Hague, The Netherlands http://neon.vb.cbs.nl/casc/ESSnet/guidelines_on_outputchecking.pdf

3. Measurement Error in Nonlinear Models

4. Analysis of Survey Data

5. Statistical disclosure control and sampling weights;Waal;J. Off. Stat.,1997

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Recent Trends in Immigrant Fertility in Australia;Journal of International Migration and Integration;2020-08-15

2. Integrating Differential Privacy in the Statistical Disclosure Control Tool-Kit for Synthetic Data Production;Privacy in Statistical Databases;2020

3. Prospects for Protecting Business Microdata when Releasing Population Totals via a Remote Server;Journal of Official Statistics;2019-06-01

4. Estimating multiregional survivorship probabilities for sparse data: An application to immigrant populations in Australia, 1981–2011;Demographic Research;2019-03-06

5. Disclosure risk reduction for generalized linear model output in a remote analysis system;Data & Knowledge Engineering;2017-09