Description
This work presents two complementary studies that propose heuristic methods to capture characteristics of data using the ensemble learning method of random forest. The first study is motivated by the problem in education of determining teacher effectiveness in student achievement.
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Contributors
- Valdivia, Arturo (Author)
- Eubank, Randall (Thesis advisor)
- Young, Dennis (Committee member)
- Reiser, Mark R. (Committee member)
- Kao, Ming-Hung (Committee member)
- Broatch, Jennifer (Committee member)
- Arizona State University (Publisher)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2013
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Note
- Partial requirement for: Ph.D., Arizona State University, 2013Note typethesis
- Includes bibliographical references (p. 150-153)Note typebibliography
- Field of study: Statistics
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Statement of Responsibility
by Arturo Valdivia