Effects on Analysis Arising from Confidentialising Data Using Random Rounding

Effects on Analysis Arising from Confidentialising Data Using Random Rounding

Government statistical agencies collect data on individuals. These data can have personal information that will lead to individual identification. The information gathered is often released and used by other agencies. In order to preserve confidentiality (people’s privacy) the data are treated in a...

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Main Author: Chen, Xiangyin
Language:en
Published: University of Canterbury. Mathematics and Statistics 2010
Online Access:http://hdl.handle.net/10092/3756
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spelling ndltd-canterbury.ac.nz-oai-ir.canterbury.ac.nz-10092-37562015-03-30T15:29:09ZEffects on Analysis Arising from Confidentialising Data Using Random RoundingChen, XiangyinGovernment statistical agencies collect data on individuals. These data can have personal information that will lead to individual identification. The information gathered is often released and used by other agencies. In order to preserve confidentiality (people’s privacy) the data are treated in a way that prevents identification. In recent years there has been a rapid increase in the research in the area of confidentiality and statistical disclosure techniques (SDC). We focus on random rounding method, one of the SDC. In this thesis we use rounded data which have been collected by Statistics NZ. We examine the effect of random rounding in contingency tables. We simulate data, based on rounded data, and actual data and use the general log-linear model and chi-square test for analysis.University of Canterbury. Mathematics and Statistics2010-04-18T22:24:42Z2010-04-18T22:24:42Z2009Electronic thesis or dissertationTexthttp://hdl.handle.net/10092/3756enNZCUCopyright Xiangyin Chenhttp://library.canterbury.ac.nz/thesis/etheses_copyright.shtml
collection NDLTD
language en
sources NDLTD
description Government statistical agencies collect data on individuals. These data can have personal information that will lead to individual identification. The information gathered is often released and used by other agencies. In order to preserve confidentiality (people’s privacy) the data are treated in a way that prevents identification. In recent years there has been a rapid increase in the research in the area of confidentiality and statistical disclosure techniques (SDC). We focus on random rounding method, one of the SDC. In this thesis we use rounded data which have been collected by Statistics NZ. We examine the effect of random rounding in contingency tables. We simulate data, based on rounded data, and actual data and use the general log-linear model and chi-square test for analysis.
author Chen, Xiangyin
spellingShingle Chen, Xiangyin
Effects on Analysis Arising from Confidentialising Data Using Random Rounding
author_facet Chen, Xiangyin
author_sort Chen, Xiangyin
title Effects on Analysis Arising from Confidentialising Data Using Random Rounding
title_short Effects on Analysis Arising from Confidentialising Data Using Random Rounding
title_full Effects on Analysis Arising from Confidentialising Data Using Random Rounding
title_fullStr Effects on Analysis Arising from Confidentialising Data Using Random Rounding
title_full_unstemmed Effects on Analysis Arising from Confidentialising Data Using Random Rounding
title_sort effects on analysis arising from confidentialising data using random rounding
publisher University of Canterbury. Mathematics and Statistics
publishDate 2010
url http://hdl.handle.net/10092/3756
work_keys_str_mv AT chenxiangyin effectsonanalysisarisingfromconfidentialisingdatausingrandomrounding
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