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oai:www.ideals.illinois.edu:2142/81153 2023-07-11 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

Yongmei Michelle Wang Zhou, Chunxiao 2015-09-25T20:09:47Z 2015-09-25T20:09:47Z 10000-01-01 2009 2009 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). Made available in DSpace on 2015-09-25T20:09:47Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3395563.pdf: 2121818 bytes, checksum: 355d3ab11b519f2c18f4305d99c43073 (MD5) Previous issue date: 2009 Embargo set by: Seth Robbins for item 82434 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 98 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2009. http://hdl.handle.net/2142/81153 (MiAaPQ)AAI3395563 eng Engineering, Biomedical Efficient Moments-Based Permutation Tests: A Framework, Methods and Applications text Electrical and Computer Engineering Electrical and Computer Engineering University of Illinois at Urbana-Champaign Dissertation Ph.D.