The aim of statistical disclosure control is to keep up the
required statistical privacy while making data available to the
researchers. This can be achieved with the help of minimal
modifications of the data without changing the multivariate data
structure. In this book the well-developed R package sdc- Micro is
introduced. With the help of this package it is possible to keep
microdata confidential in a very effective way. The concept is
thoroughly explained and its application is demonstrated using
real-world data. In addition to that, the robustification of
disclosure methods is described. Many SDCmethods for microdata
developed so far can be influenced by outliers to a great extent
resulting in a high loss of information of the perturbed data.
Missing values are the second topic of this book. The application
of visualisation tools for the analysis of missing values,
preceding the choice of an imputation method, is highlighted. In
addition to that, new methods for the imputation of composition
data are introduced. Due to the linear dependence of the variables
from compositional data, reasonalbe imputations can be made by
considering the special nature of such data.
General
Imprint: |
Sudwestdeutscher Verlag Fur Hochschulschriften AG
|
Country of origin: |
United States |
Release date: |
June 2009 |
First published: |
June 2009 |
Authors: |
Matthias Templ
|
Dimensions: |
229 x 152 x 14mm (L x W x T) |
Format: |
Paperback - Trade
|
Pages: |
264 |
ISBN-13: |
978-3-8381-0828-5 |
Categories: |
Books >
Science & Mathematics >
Mathematics >
General
|
LSN: |
3-8381-0828-0 |
Barcode: |
9783838108285 |
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