| 作成者 |
|
| 本文言語 |
|
| 出版者 |
|
|
|
| 発行日 |
|
| 収録物名 |
|
| 巻 |
|
| 号 |
|
| 開始ページ |
|
| 終了ページ |
|
| 出版タイプ |
|
| アクセス権 |
|
| Crossref DOI |
|
| 関連DOI |
|
|
|
| 関連URI |
|
|
|
| 関連情報 |
|
|
|
| 概要 |
It is known that the linear estimation, both with or without unbiasedness, may be reduced to a statistical game with a convex compact parameter set. Then all locally best estimators constitute a compl...ete class and each locally best estimator being unique is admissible. However, if the considered locally best estimator is not unique, then all known sufficient conditions for the admissibility work very hard. We derive a simpler sufficient condition for the admissibility in a linear model with the natural parameter space.続きを見る
|
Mendeley出力
