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  • 标题:Generating a Synthetic Population of Individuals in Households: Sample-Free Vs Sample-Based Methods
  • 本地全文:下载
  • 作者:Maxime Lenormand ; Guillaume Deffuant
  • 期刊名称:Journal of Artificial Societies and Social Simulation
  • 印刷版ISSN:1460-7425
  • 出版年度:2013
  • 卷号:16
  • 期号:4
  • 页码:1-16
  • DOI:10.18564/jasss.2319
  • 出版社:University of Surrey, Department of Sociology
  • 摘要:We compare a sample-free method proposed by Gargiulo et al. (2010) and a sample-based method proposed by Ye et al. (2009) for generating a synthetic population, organised in households, from various statistics. We generate a reference population for a French region including 1310 municipalities and measure how both methods approximate it from a set of statistics derived from this reference population. We also perform a sensitivity analysis. The sample-free method better fits the reference distributions of both individuals and households. It is also less data demanding but it requires more pre-processing. The quality of the results for the sample-based method is highly dependent on the quality of the initial sample.
  • 关键词:Synthetic Populations; Sample-Free; Iterative Proportional Updating; Sample Based Method; Microsimulation
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