政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/62095

English | 正體中文 | 简体中文 | Post-Print筆數 : 27 | Items with full text/Total items : 109953/140892 (78%)
Visitors : 46226380 Online Users : 503

RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.

Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer

政大機構典藏 > 商學院 > 統計學系 > 期刊論文 > Item 140.119/62095

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/62095

Title:	Estimating the Number of True Null Hypotheses in Multiple Hypothesis Testing
Authors:	郭訓志 Hwang, Yi-Ting;Kuo, Hsun-Chih;Wang, Chun-Chao;Lee, Meng Feng
Contributors:	統計系
Keywords:	Adaptive FDR controlling procedure;False discovery rate;Multiple hypothesis testing;Number of true null hypotheses;Sensitivity
Date:	2013.02
Issue Date:	2013-12-03 18:16:36 (UTC+8)
Abstract:	The overall Type I error computed based on the traditional means may be inflated if many hypotheses are compared simultaneously. The family-wise error rate (FWER) and false discovery rate (FDR) are some of commonly used error rates to measure Type I error under the multiple hypothesis setting. Many controlling FWER and FDR procedures have been proposed and have the ability to control the desired FWER/FDR under certain scenarios. Nevertheless, these controlling procedures become too conservative when only some hypotheses are from the null. Benjamini and Hochberg (J. Educ. Behav. Stat. 25:60–83, 2000) proposed an adaptive FDR-controlling procedure that adapts the information of the number of true null hypotheses (m 0) to overcome this problem. Since m 0 is unknown, estimators of m 0 are needed. Benjamini and Hochberg (J. Educ. Behav. Stat. 25:60–83, 2000) suggested a graphical approach to construct an estimator of m 0, which is shown to overestimate m 0 (see Hwang in J. Stat. Comput. Simul. 81:207–220, 2011). Following a similar construction, this paper proposes new estimators of m 0. Monte Carlo simulations are used to evaluate accuracy and precision of new estimators and the feasibility of these new adaptive procedures is evaluated under various simulation settings.
Relation:	Statistics and Computing, Published online: 8 February 2013
Data Type:	article
DOI 連結:	http://dx.doi.org/10.1007/s11222-013-9377-5
DOI:	10.1007/s11222-013-9377-5
Appears in Collections:	[統計學系] 期刊論文

Files in This Item:

File	Description	Size	Format
1010.pdf		744Kb	Adobe PDF2	962	View/Open

社群 sharing

著作權政策宣告 Copyright Announcement

1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.

Loading...