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  • 标题:IMPROVED BOOTSTRAP THROUGH MODIFIED RESAMPLE SIZE
  • 本地全文:下载
  • 作者:Jinfang Wang ; Masaaki Taguri
  • 期刊名称:JOURNAL OF THE JAPAN STATISTICAL SOCIETY
  • 印刷版ISSN:1882-2754
  • 电子版ISSN:1348-6365
  • 出版年度:1998
  • 卷号:28
  • 期号:2
  • 页码:181-192
  • DOI:10.14490/jjss1995.28.181
  • 出版社:JAPAN STATISTICAL SOCIETY
  • 摘要:We consider the bootstrap with arbitrary resample size and apply a modified bootstrap to estimation problems where parameters are smooth functions of population means. In particular, we identify certain class of estimators for which similar well-known results to the jackknife are obtained for the modified bootstrap. We also give a counter-example where the bootstrap fails to estimate thebias of an estimator.
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