Proceedings of the Korean Operations and Management Science Society Conference (한국경영과학회:학술대회논문집)
- 2004.05a
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- Pages.294-297
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- 2004
Determining the Relative Weights of Bias and Variance in Dual Response Surface Optimization
쌍대반응표면 최적화에서 편차와 분산의 가중치 결정에 관한 연구
- Jeong, In-Jun ;
- Kim, Gwang-Jae ;
- Jang, Su-Yeong ;
- Lin, Dennis K.J. (Department of Management Science and Information Systems Pennsylvania State University)
- Published : 2004.05.21
Abstract
Mean squared error (MSE) is an effective criterion to combine the mean and the standard deviation responses in dual response surface optimization. The bias and variance components of MSE need to be weighted properly in the given problem situation. This paper proposes a systematic method to determine the relative weights of bias and variance in accordance with a decision maker's prior and posterior preference structure.
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