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Title:Efficient Moments-Based Permutation Tests: A Framework, Methods and Applications
Author(s):Zhou, Chunxiao
Doctoral Committee Chair(s):Yongmei Michelle Wang
Department / Program:Electrical and Computer Engineering
Discipline:Electrical and Computer Engineering
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):Engineering, Biomedical
Abstract:The key and only assumption for permutation tests is data exchangeability. In real applications, the data exchangeability condition is not always valid. In order to preserve the exchangeability condition required in permutation tests, we propose a new blockwise permutation test approach based on the moments of the test statistic. The accuracy and efficiency of the proposed method are demonstrated through simulated experiments and magnetic resonance imaging (MRI) brain data, including the multi-site voxel-based morphometry analysis from structural MRI (sMRI) and activation detection from functional MRI (fMRI).
Issue Date:2009
Description:98 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2009.
Other Identifier(s):(MiAaPQ)AAI3395563
Date Available in IDEALS:2015-09-25
Date Deposited:2009

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