文章基本信息

标题：Generating a Synthetic Population of Individuals in Households: Sample-Free Vs Sample-Based Methods
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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