高密度顯著性檢定以複合式假設為例

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DC Field	Value	Language
dc.contributor.author	曾義家	en_US
dc.contributor.author	Yi-Chia Tseng	en_US
dc.contributor.author	陳鄰安	en_US
dc.contributor.author	Lin-An Chen	en_US
dc.date.accessioned	2014-12-12T02:57:44Z	-
dc.date.available	2014-12-12T02:57:44Z	-
dc.date.issued	2005	en_US
dc.identifier.uri	http://140.113.39.130/cdrfb3/record/nctu/#GT009326510	en_US
dc.identifier.uri	http://hdl.handle.net/11536/79287	-
dc.description.abstract	延伸Chen(2005)的想法，我們提出針對複合式虛無假設的高密度顯著性檢定。且推導出這個檢定的存在性以及它的最佳化的性質，並且針對常態分配的參數，將此方法應用於其上。對於一些較為複雜的高密度顯著性檢定問題，我們利用近似性的高密度顯著性檢定加以解決。	zh_TW
dc.description.abstract	Extending from the idea of Chen(2005), we proposed highest density significance (HDS) test for composite null hypothesis. Existence and optimality of this test are derived. Examples of HDS test for normal parameters are provided. For problems that HDS tests are complicated to derived, we propose the approximate HDS tests.	en_US
dc.language.iso	en_US	en_US
dc.subject	Fisherian 顯著性檢定	zh_TW
dc.subject	假設檢定	zh_TW
dc.subject	顯著性檢定	zh_TW
dc.subject	Fisherian significance test	en_US
dc.subject	hypothesis testing	en_US
dc.subject	significance test	en_US
dc.title	高密度顯著性檢定以複合式假設為例	zh_TW
dc.title	Highest Density Significance Test for Composite Hypothesis	en_US
dc.type	Thesis	en_US
dc.contributor.department	統計學研究所	zh_TW
Appears in Collections:	Thesis

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