Reformulating Input Data for Linear Regression of Demographic Data

Xiao Heng Pan; Yang Ping Li; Hua Qiang Yuan

doi:10.4028/www.scientific.net/AMR.910.401

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 910Reformulating Input Data for Linear Regression of...

Reformulating Input Data for Linear Regression of Demographic Data

Abstract:

In regressing demographic data, neighborhood information needs to be taken into account, which makes conventional linear regression models inappropriate. In this paper, to incorporate neighborhood information without incurring extra computational cost, we investigate various possibilities to reformulate input data. Experiments show that augmenting each site with its neighborhood information gives the best results.

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Periodical:

Advanced Materials Research (Volume 910)

Pages:

401-404

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.910.401

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Online since:

March 2014

Authors:

Xiao Heng Pan, Yang Ping Li*, Hua Qiang Yuan

Keywords:

Demographic Data, Linear Regression, Neighborhood

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* - Corresponding Author

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