Multiple testing is playing an important role in analyzing data from modern scientific investigations. Some fundamentally important theoretical and methodological issues related to multiple testing still remain to be fully investigated. Often the correlation structure among test statistics involved in multiple testing is known a priori or it can be estimated from the data, yet this structure is not often properly taken into consideration while developing multiple testing procedures, even though not doing so might result in a less powerful method than one would like to have or lead to irrelevant or misleading conclusions. This dissertation focuses on research related to improving some of the commonly used multiple testing procedures by incorporating correlations into them. We propose several new results in this dissertation and present some ideas to carry out further research. / Statistics
| Identifer | oai:union.ndltd.org:TEMPLE/oai:scholarshare.temple.edu:20.500.12613/1407 |
| Date | January 2011 |
| Creators | He, Li |
| Contributors | Sarkar, S. K. (Sanat K.), Dong, Yuexiao, Zhao, Zhigen |
| Publisher | Temple University. Libraries |
| Source Sets | Temple University |
| Language | English |
| Detected Language | English |
| Type | Thesis/Dissertation, Text |
| Format | 146 pages |
| Rights | IN COPYRIGHT- This Rights Statement can be used for an Item that is in copyright. Using this statement implies that the organization making this Item available has determined that the Item is in copyright and either is the rights-holder, has obtained permission from the rights-holder(s) to make their Work(s) available, or makes the Item available under an exception or limitation to copyright (including Fair Use) that entitles it to make the Item available., http://rightsstatements.org/vocab/InC/1.0/ |
| Relation | http://dx.doi.org/10.34944/dspace/1389, Theses and Dissertations |
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