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文章基本信息

  • 标题:On weak convergence in $\mathcal{M}\left({H}\right)$: relaxation of a sufficient condition
  • 作者:Subrata Kundu ; Suman Majumdar ; Arindam Sengupta
  • 期刊名称:Sankhya. Series A, mathematical statistics and probability
  • 印刷版ISSN:0976-836X
  • 电子版ISSN:0976-8378
  • 出版年度:2014
  • 卷号:76
  • 期号:1
  • 页码:146-149
  • DOI:10.1007/s13171-013-0039-7
  • 语种:English
  • 出版社:Indian Statistical Institute
  • 摘要:Theorem 2.2 of Majumdar (Sankhyā 67:670–673, 2005 ) obtained two conditions that are necessary and jointly sufficient for weak convergence in \( {\mathcal{M}}\left({H}\right)\) . In this note we significantly relax the second condition while maintaining the joint sufficiency.
  • 关键词:Convergence in distribution ; convergence in probability.
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