JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Multiple Constrained Optimal Experimental Design
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Multiple Constrained Optimal Experimental Design
Jahng, Myung-Wook; Kim, Young Il;
  PDF(new window)
 Abstract
It is unpractical for the optimal design theory based on the given model and assumption to be applied to the real-world experimentation. Particularly, when the experimenter feels it necessary to consider multiple objectives in experimentation, its modified version of optimality criteria is indeed desired. The constrained optimal design is one of many methods developed in this context. But when the number of constraints exceeds two, there always exists a problem in specifying the lower limit for the efficiencies of the constraints because the “infeasible solution” issue arises very quickly. In this paper, we developed a sequential approach to tackle this problem assuming that all the constraints can be ranked in terms of importance. This approach has been applied to the polynomial regression model.
 Keywords
-optimality;constrained optimal experimental design;polynomial regression;
 Language
Korean
 Cited by
1.
Strategical Issues in Multiple-Objective Optimal Experimental Design,;;

Communications for Statistical Applications and Methods, 2006. vol.13. 1, pp.1-10 crossref(new window)
2.
Hybrid Approach When Multiple Objectives Exist,;;

Communications for Statistical Applications and Methods, 2007. vol.14. 3, pp.531-540 crossref(new window)
3.
정확최적실험계획법,김영일;

Communications for Statistical Applications and Methods, 2009. vol.16. 2, pp.299-308 crossref(new window)
4.
하이브리드형 제약 외삽실험 계획법,김영일;장대흥;

Communications for Statistical Applications and Methods, 2012. vol.19. 1, pp.65-75 crossref(new window)
5.
다중 외삽점에서의 최적 실험설계법을 위한 실험설계기준,김영일;장대흥;

응용통계연구, 2014. vol.27. 5, pp.693-703 crossref(new window)
1.
Some Criteria for Optimal Experimental Design at Multiple Extrapolation Points, Korean Journal of Applied Statistics, 2014, 27, 5, 693  crossref(new windwow)
2.
Hybrid Constrained Extrapolation Experimental Design, Communications for Statistical Applications and Methods, 2012, 19, 1, 65  crossref(new windwow)
 References
1.
「한국통계학회논문집」, 2000. vol.7. 1, pp.357-366

2.
Annals of Mathematical Statistics, 1969. vol.4. pp.1570-1602 crossref(new window)

3.
Journal of the American Statistical Association, 1994. vol.89. pp.687-692 crossref(new window)

4.
Statistics, 1995. vol.26. pp.129-178 crossref(new window)

5.
Ruhr-Universitat Bochum technical paper, 2000.

6.
Annals of Statistics, 1974. vol.2. pp.849-879 crossref(new window)

7.
Technimetrics, 1969. vol.11. pp.677-682 crossref(new window)

8.
Mathematishe Operationsforshung und Statistik, 1974. vol.5. pp.673-708

9.
Communications in Statistics, Part A-theory and Methods, 1987. vol.16. pp.765-783 crossref(new window)

10.
Kybernetika, 1983. vol.19. pp.1-14

11.
Optimal Design of Experiments, 1993.

12.
Journal of the American Statistical Association, 1971. vol.66. pp.311-318 crossref(new window)

13.
Computational Statistics & Data Analysis, 1994. vol.18. pp.441-448 crossref(new window)