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Functional data analysis with application to MS and cervical vertebrae data

  • Author / Creator
    Yaraee, Kate
  • 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
  • Graduation date
    2011-11
  • Type of Item
    Thesis
  • Degree
    Master of Science
  • DOI
    https://doi.org/10.7939/R3H944
  • 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.
  • Language
    English
  • Institution
    University of Alberta
  • Degree level
    Master's
  • Department
    • Department of Mathematical and Statistical Sciences
  • Supervisor / co-supervisor and their department(s)
    • Wiens, Douglas (Mathematical and Statistical Sciences)
    • Heo, Giseon (Dentistry)
  • Examining committee members and their departments
    • Zhang, Peng (Mathematical and Statistical Sciences)