• Media type: E-Article
  • Title: AN ALGEBRAIC CONSTRUCTION OF MINIMALLY-SUPPORTED D-OPTIMAL DESIGNS FOR WEIGHTED POLYNOMIAL REGRESSION
  • Contributor: Chang, Fu-Chuen; Jiang, Bo-Jung
  • imprint: Institute of Statistical Science, Academia Sinica and International Chinese Statistical Association, 2007
  • Published in: Statistica Sinica
  • Language: English
  • ISSN: 1017-0405; 1996-8507
  • Keywords: General
  • Origination:
  • Footnote:
  • Description: <p>In this paper we investigate (d+1)-point D-optimal designs for dth degree polynomial regression with weight function ω(x) ≥ 0 on the interval [a,b]. We propose an algebraic approach and provide a numerical method for the construction of optimal designs. Thus if ω′(x)/ω(x) is a rational function and the information of whether the optimal support contains the boundary points a and b is available, the problem of constructing (d + 1)-point D-optimal designs can be transformed into a differential equation problem. One is led to a matrix that includes a finite number of auxiliary unknown constants, and the differentiation can be solved from a system of polynomial equations in those constants. Moreover, the (d + 1)-point D-optimal interior support points are the zeros of a polynomial whose coefficients can be computed from a linear system.</p>
  • Access State: Open Access