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  • 标题:BOUNDED RISK POINT ESTIMATION OF A LINEAR FUNCTION OF K MULTINORMAL MEAN VECTORS
  • 本地全文:下载
  • 作者:Makoto Aoshima
  • 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:153-161
  • DOI:10.14490/jjss1995.28.153
  • 出版社:JAPAN STATISTICAL SOCIETY
  • 摘要:The problem of constructing an estimator with a risk bounded by a preassigned number is considered for a linear function of mean vectors of k multinormal populations, where all covariance matrices are unknown. A two-stage procedure is proposed to give such an estimator. Some asymptotic properties of the proposed two-stage procedure are discussed. The proposed two-stage procedure improves the Ghosh, Mukhopadhyay and Sen (1997)-type two-stage procedure asymptotically.
  • 关键词:asymptotic efficiency;bounded risk;exact consistency;two-stage procedure
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