Title page for etd-0727103-200620


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URN etd-0727103-200620
Author Mei-Yao Lee
Author's Email Address m9024622@student.nsysu.edu.tw
Statistics This thesis had been viewed 5100 times. Download 2051 times.
Department Applied Mathematics
Year 2001
Semester 2
Degree Master
Type of Document
Language English
Title D-optimal designs for weighted polynomial regression-a function approach
Date of Defense 2003-05-30
Page Count 12
Keyword
  • functional-approach
  • Abstract This paper is concerned with the problem of computing approximate
    D-optimal design for polynomial regression with analytic weight
    function on the interval [m_0-a,m_0+a]. It is shown that the
    problem of constructing D-optimal designs for weighted
    polynomial regression is equivalent to that of finding D-optimal designs for polynomial regression with weight function |x|^s on the interval [-1,1] as a to 0. By using
    Taylor expansion we provide a recursive algorithm such that the
    D-optimal designs for weighted polynomial regression on a
    neighborhood of m_0 can be determined.
    Advisory Committee
  • Mong-Na Lo Huang - chair
  • Mei-Hui Guo - co-chair
  • Fu-Chuen Chang - advisor
  • Files
  • etd-0727103-200620.pdf
  • indicate access worldwide
    Date of Submission 2003-07-27

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