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Principal differential analysis

  • J. O. Ramsay
  • B. W. Silverman
Chapter
  • 1k Downloads
Part of the Springer Series in Statistics book series (SSS)

Abstract

In this chapter we return to the problem that animated the development of principal components analysis in Chapter 6: can we use our set of N functional observations x i to define a much smaller set of m functions u j on the basis of which we can obtain efficient approximations of these observed functions?

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Copyright information

© Springer Science+Business Media New York 1997

Authors and Affiliations

  • J. O. Ramsay
    • 1
  • B. W. Silverman
    • 2
  1. 1.Department of PsychologyMcGill UniversityMontrealCanada
  2. 2.Department of MathematicsUniversity of BristolBristolUK

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