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Non-parametric estimation of data dimensionality prior to data compression : the case of the human development index
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Canning, David, French, Declan and Moore, Michael J. (2013) Non-parametric estimation of data dimensionality prior to data compression : the case of the human development index. Journal of Applied Statistics, Volume 40 (Number 9). pp. 1853-1863. doi:10.1080/02664763.2013.798629 ISSN 0266-4763.
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Official URL: http://dx.doi.org/10.1080/02664763.2013.798629
Abstract
In many applications in applied statistics researchers reduce the complexity of a data set by combining a group of variables into a single measure using factor analysis or an index number. We argue that such compression loses information if the data actually has high dimensionality. We advocate the use of a non-parametric estimator, commonly used in physics (the Takens estimator), to estimate the correlation dimension of the data prior to compression. The advantage of this approach over traditional linear data compression approaches is that the data does not have to be linearized. Applying our ideas to the United Nations Human Development Index we find that the four variables that are used in its construction have dimension three and the index loses information.
Item Type: | Journal Article | ||||||||
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Subjects: | H Social Sciences > HA Statistics | ||||||||
Divisions: | Faculty of Social Sciences > Warwick Business School | ||||||||
Library of Congress Subject Headings (LCSH): | Statistics -- United Nations, Economic development -- United Nations, Well-being -- United Nations, Well-being -- Economic aspects | ||||||||
Journal or Publication Title: | Journal of Applied Statistics | ||||||||
Publisher: | Routledge | ||||||||
ISSN: | 0266-4763 | ||||||||
Official Date: | 16 May 2013 | ||||||||
Dates: |
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Volume: | Volume 40 | ||||||||
Number: | Number 9 | ||||||||
Number of Pages: | 10 | ||||||||
Page Range: | pp. 1853-1863 | ||||||||
DOI: | 10.1080/02664763.2013.798629 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Access rights to Published version: | Restricted or Subscription Access |
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