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文章基本信息

  • 标题:simsum: Analyses of simulation studies including Monte Carlo error
  • 本地全文:下载
  • 作者:White, Ian R.
  • 期刊名称:Journal of Food Distribution Research
  • 印刷版ISSN:0047-245X
  • 出版年度:2010
  • 卷号:SUPPL
  • 页码:369-385
  • 出版社:Food Distribution Research Society
  • 摘要:A new Stata command, simsum, analyzes data from simulation studies. The data may comprise point estimates and standard errors from several analysis methods, possibly resulting from several different simulation settings. simsum can report bias, coverage, power, empirical standard error, relative precision, average model-based standard error, and the relative error of the standard error. Monte Carlo errors are available for all of these estimated quantities.
  • 关键词:simsum;simulation;Monte Carlo error;normal approximation;sandwich variance
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