會議論文

學年 90
學期 2
發表日期 2002-03-22
作品名稱 Comparison of Normal Variance Estimators in Terms of Pitman Nearness Criterion
作品名稱(其他語言)
著者 林志娟; 張慶暉
作品所屬單位 淡江大學統計學系
出版者
會議名稱 e世紀的挑戰:國際學術研討會管理組=E-Era Challenge International Academic Conference
會議地點 臺北市, 臺灣
摘要 For estimating a normal variance under squared error loss function it is well known that the best affine (location and scale) equivariant estimator, which is better than the maximum likelihood estimator as well as the unbiased estimator, is also inadmissible. The improved estimators, e.g. Stein type, Brown type and Brewster-Zidek type, are all scale equivariant but not location invariant. Lately a good amount of research has been done to compare the improved estimators in terms of risk, but very little attention had been paid to compare these estimators in terms of Pitman nearness criterion. In this paper we have undertaken a comprehensive study to compare various variance estimators in terms of Pitman nearness criterion, which has long been over due, and have made some interesting observations in the process.
關鍵字 損失函數;風險函數;非中央卡方分配;Loss Function;Risk Function;Non-Central Chi-Square Distribution;Affine Equivariance
語言 en
收錄於
會議性質 國際
校內研討會地點
研討會時間 20020322~20020322
通訊作者
國別 TWN
公開徵稿 Y
出版型式 紙本
出處 e世紀的挑戰:國際學術研討會管理組論文集=Proceedings of E-Era Challenge International Academic Conference,頁545-562
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機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/95530 )

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