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Functional data analysis with application to MS and cervical vertebrae data
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- Author / Creator
- Yaraee, Kate
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Functional data analysis (FDA) is a fast-growing area in statistics with the aim of
estimating a set of related functions or curves rather than focusing on a single entity,
like estimating a point, as in classical statistics. FDA has a wide range of applications
in different fields such as biological sciences, geology, psychology, economics, image
data, etc. In fact, discrete data points collected over a continuum can be thought
of as a function that is assumed to be a reasonably smooth mechanism giving rise
to those discrete observed points. This continuum is not necessarily a physical time
point, but rather attributes such as age, spatial location, seasons, or temperature. -
- Subjects / Keywords
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- Graduation date
- Fall 2011
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- Type of Item
- Thesis
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- Degree
- Master of Science
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- License
- This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.