首页> 外文期刊>International statistical review >Causality: Statistical Perspectives and Applications
【24h】

Causality: Statistical Perspectives and Applications

机译:因果关系:统计观点和应用

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

This edited volume provides readers with excellent exposure to a wide variety of causal theory, methods and applications. The contributors are well known in the field of causality and represent a range of perspectives. The book is well organised and edited. Nearly every chapter can stand on its own for researchers who are well versed in causal methods, while some of the early chapters provide good background information for readers who are newer to the field. Some chapters are more technical than others, and so accessibility of the book varies. Overall, the editors did an admirable job of making this feel more like a book written by the same authors rather than a collection of separate papers.
机译:本书编辑后的内容使读者可以很好地了解各种因果理论,方法和应用。贡献者在因果关系领域众所周知,并代表了各种观点。这本书井井有条,经过编辑。对于因果方法精通的研究人员,几乎每一章都可以独立工作,而某些早期的章则为刚接触该领域的读者提供了良好的背景信息。有些章节比其他章节更具技术性,因此本书的可访问性有所不同。总体而言,编辑人员所做的令人钦佩的工作是使它看起来更像是同一作者写的书,而不是单独的论文集。

著录项

  • 来源
    《International statistical review》 |2014年第2期|319-320|共2页
  • 作者

    Jason Roy;

  • 作者单位

    Department of Biostatistics and Epidemiology 423 Guardian Drive, Philadelphia, PA 19104, USA;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号