首页    期刊浏览 2024年07月05日 星期五
登录注册

文章基本信息

  • 标题:A New Polya Tree Construction Facilitating A Goodness-of-Fit Test
  • 本地全文:下载
  • 作者:Yuhui Chen
  • 期刊名称:Journal of Data Science
  • 印刷版ISSN:1680-743X
  • 电子版ISSN:1683-8602
  • 出版年度:2014
  • 卷号:12
  • 期号:2
  • 页码:325-338
  • 出版社:Tingmao Publish Company
  • 摘要:Polya tree, by embedding parametric families as a special case,provides natural suit to test goodness of t of a parametric null with non-parametric alternatives. For this purpose, we present a new construction onPolya tree for random probability measure, which aims to perform an easymultiple 2 test for goodness of t. Examples of data analyses are providedin simulation studies to highlight the performance of the proposed methods.
  • 关键词:Goodness-of-Fit Test; Nonparametric Model; Polya tree.
国家哲学社会科学文献中心版权所有