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수정된 Notz계획을 이용한 2차모형의 경제적 추정

Economic Second-Order Modeling Using Modified Notz Design

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키워드

주제분류학제간연구

초록

Purpose: In this paper we propose modified Notz designs which are useful to experimenters who want to adopt the sequential experimentation strategy and to estimate second-order regression model with as few experimental points as possible. Methods: We first present the design matrices and design points in two or three dimensional spaces for such small sized second-order designs as small composite, hybrid, and Notz designs. Modified Notz designs are proposed and compared with some response surface designs in terms of the total number of experimental points, the estimation capability criteria such as D- and A-optimality. Results: When sequential experimentation is necessary, the modified Notz designs are recommendable. Conclusion: The result of this paper will be beneficial to experimenters who need to do experiments more efficiently, especially for those who want to reduce the time of experimentation as much as possible to develop cutting-edge products.

Abstract

Purpose: In this paper we propose modified Notz designs which are useful to experimenters who want to adopt the sequential experimentation strategy and to estimate second-order regression model with as few experimental points as possible. Methods: We first present the design matrices and design points in two or three dimensional spaces for such small sized second-order designs as small composite, hybrid, and Notz designs. Modified Notz designs are proposed and compared with some response surface designs in terms of the total number of experimental points, the estimation capability criteria such as D- and A-optimality. Results: When sequential experimentation is necessary, the modified Notz designs are recommendable. Conclusion: The result of this paper will be beneficial to experimenters who need to do experiments more efficiently, especially for those who want to reduce the time of experimentation as much as possible to develop cutting-edge products.

참고문헌 (10)

  1. Box, G. E. P., "Some New Three-Level Designs for the Study of Quantitative Variables", Technometrics, 2, pp.455~475 (1960)
  2. Box, G. E. P., "Statistics for Experimenters-Design, Innovation, and Discovery, Second Edition" (2005), Wiley
  3. Box, G. E. P., "On the Experimental Attainment of Optimum Conditions", Journal of the Royal Statistical Society, Series B, 13, pp.1~45 (1951)
  4. Hartley, H. O., "Smallest Composite Designs for Quadratic Response Surfaces", Biometrics, 15(4), pp.611~624 (1959)
  5. Mee, R. W., "Semifolding, 2k-p designs", Technometrics, 42(2), pp.122~134 (2000)
  6. Myers, R. H., "Response Surface Methodology-Process and Product Optimization Using Designed Experiments, Second Edition" (2002), Wiley
  7. Notz, W., "Minimal Point Second Order Designs", Journal of Statistical Planning and Inference, 6, pp.47~58 (1982)
  8. Phadke, M. S., "Quality Engineering Using Robust Design" (1989), Prentice-Hall
  9. Roquemore, K. G., "Hybrid Designs for Quadratic Response Surfacesc", Technometrics, 18(4), pp.419~423 (1976)
  10. Stat-Ease., "Design-Expert Software for Design of Experiments, Version, 6. 0. 10." (2003), Stat-Ease, Inc

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