International Journal of Statistics and Applied Mathematics
  • Printed Journal
  • Indexed Journal
  • Refereed Journal
  • Peer Reviewed Journal

International Journal of Statistics and Applied Mathematics

2018, Vol. 3, Issue 2, Part E

The modified balanced confounded design algorithm for constructing n-point d-optimal global designs


Author(s): Isaac Anthony A and Usoro Anthony E

Abstract: The Balanced Confounded Design Algorithm (BCDA) for constructing N-point D-optimal designs was used in constructing a32, 2 x 32 and a 32 N-point D-optimal response surface designs. When the results were inspected, it was observed that in all, the global optimum could be located faster if all or more support points from G1 are taken. Hence, a modification of the BCDA is proposed. The result of this work has shown that the Modified Balanced Confounded Design Algorithm (MBCDA) is superior in efficiency to the traditional BCDA.

Pages: 326-330 | Views: 426 | Downloads: 12

Download Full Article: Click Here
How to cite this article:
Isaac Anthony A, Usoro Anthony E. The modified balanced confounded design algorithm for constructing n-point d-optimal global designs. Int J Stat Appl Math 2018;3(2):326-330.
Call for book chapter
International Journal of Statistics and Applied Mathematics