首页    期刊浏览 2024年11月25日 星期一
登录注册

文章基本信息

  • 标题:Invariant and Metric Free Proximities for Data Matching: An R Package
  • 本地全文:下载
  • 作者:Stefano Iacus ; Giuseppe Porro
  • 期刊名称:Journal of Statistical Software
  • 印刷版ISSN:1548-7660
  • 电子版ISSN:1548-7660
  • 出版年度:2008
  • 卷号:25
  • 期号:1
  • 页码:1-22
  • 语种:English
  • 出版社:University of California, Los Angeles
  • 摘要:Data matching is a typical statistical problem in non experimental and/or observational studies or, more generally, in cross-sectional studies in which one or more data sets are to be compared. Several methods are available in the literature, most of which based on a particular metric or on statistical models, either parametric or nonparametric. In this paper we present two methods to calculate a proximity which have the property of being invariant under monotonic transformations. These methods require at most the notion of ordering. An open-source software in the form of a R package is also presented.
国家哲学社会科学文献中心版权所有