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
    Fall 2011
  • Type of Item
  • Degree
    Master of Science
  • DOI
  • 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.