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반응표면분석에서의 다반응 최적화:기대 상대오차제곱 추정치 가중합의 최소화에 의한 방법

Multiresponse Optimization in Response Surface Analysis:A Method by Minimization of Weighted Sum of Estimates of Expected Squared Relative Errors

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참고문헌

주제분류학제간연구

초록

Abstract

This article proposes a practical approach, which is based on the concept of the expected squared relative error, that can consider both the prediction quality and the practitioner’s subjectivity in simultaneously optimizing multiple responses. Through a case study, multiresponse optimization using the expected squared relative error approach is illustrated, and the SAS program to implement the proposed method is provided.

참고문헌 (10)

  1. "Quality Loss Functions for Optimization Across Multiple Response Surfaces", 29, pp.339~346 (1997)
  2. "Econometrics Lecture Notes, Seemingly Unrelated Regression,", eco(metrics lecture tes) (1999)
  3. "Simultaneous Optimization of Several Response Variables", 12, pp.214~219 (1980)
  4. "Simultaneous Optimization of Multiple Response Represented by Polynomial Regression Functions", 23, pp.363~375 (1981)
  5. "Response Surfaces:Designs and Analyses" (1996)
  6. "Design and Analysis of Experiments, 5th Edition" (2000)
  7. "esponse Surface Methodology:Process and Product Optimization Using Designed Experiments" (2002)
  8. "SAS Version" (1999)
  9. "A Compromise Approach to Multiresponse Optimization", 30, pp.309~313 (1998)
  10. "An Efficient Method of Estimating Seemingly Unrelated Regressions and Tests for Aggregation Bias", 57, pp.348~368 (1962)

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