標題: 條件推論在統計推論上的影響
The Effet of Conditional Inference on Statistical Inference
作者: 賴映伶
Lai Ying Ling
洪慧念
Hui-Nien Hung
統計學研究所
關鍵字: 條件推論;輔助統計量;充分原則;Conditional Inference;ancillary statistic;sufficient principle
公開日期: 2006
摘要: 條件推論在統計這門領域中已具有相當久的歷史,然而卻沒有被廣泛共識,同時,對於條件推論的使用時機與方式,統計學家們也有一些爭議的觀點。爭議的觀點之一在於給定條件下後的統計推論常常出現與原來不同的結果,究竟何種較合理?這篇文章的主題是更進一步探討何時該用條件推論?如何使用推論較為適合?以及研究條件推論與統計上的充分原則之關係。
Conditional inference already has a history in statistical theory for a long time,but doesn’t has a common view. The statisticians also have some standpoints of controversies for using opportune moment and way on conditional inference. One of the standpoint of controversy is conditional inference usually appear with originally different result. Actually what more reasonable ? The topic of this article is a further study when should use conditional inference? How use inference fitter?And study conditional inference and sufficient principle’relation.
URI: http://140.113.39.130/cdrfb3/record/nctu/#GT009426510
http://hdl.handle.net/11536/81450
顯示於類別:畢業論文


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