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University of Illinois at Urbana-Champaign
Applicability of Factor Analysis to the Determination of Mineral Matter in Coal
Abstract
dc:descriptionA method for determining the characteristics of the mineral matter in coal was developed based on two types of factor analysis. Classical factor analysis was shown to identify trends in data sets that are indicative of the mineral phases and data errors. If a data error was identified by classical factor analysis, appropriate corrective action produced a data set with only experimental errors present that could be used for further analysis. Target transformation factor analysis (TTFA) was then used to quantitatively identify the elemental distribution of the minerals in coal.
Degree
thesis:*- Name thesis:degree_name
- Ph.D.
- Level thesis:degree_level
- Dissertation
- Discipline thesis:degree_discipline
- Nuclear Engineering
- Grantor
- University of Illinois at Urbana-Champaign
- Year dc:date
- 2014
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Roscoe, Bradley Albert
Subjects
dc:subject × 2Identifiers
dc:identifier.*- Identifier
- (UMI)AAI8203570
- OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/70877