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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2017.1
- 수록면
- 139 - 146 (8page)
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초록· 키워드
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Response surface methodology (RSM) is a useful set of statistical techniques for modeling and optimizing responses in research studies of food science. In the analysis of response surface data, a second-order polynomial regression model is usually used. However, sometimes we encounter situations where the fit of the second-order model is poor. If the model fitted to the data has a poor fit including a lack of fit, the modeling and optimization results might not be accurate. In such a case, using a fullest balanced model, which has no lack of fit, can fix such problem, enhancing the accuracy of the response surface modeling and optimization. This article presents how to develop and use such a model for the better modeling and optimizing of the response through an illustrative re-analysis of a dataset in Park et al. (2014) published in the Korean Journal for Food Science of Animal Resources.
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참고문헌 (8)
참고문헌 신청
Box, G. E. P. / 1951 / On the experimental attainment of optimum conditions / J. Royal Stat. Soc. Series B 13:1~45
Logothetis, N. / 1989 / Quality through design:Experimental design, off-line quality control, and Taguchi's contributions / Oxford University Press
Myers, R. H. / 2009 / Response Surface Methodology: Process and Product Optimization Using Designed Experiments / John Wiley & Sons
Oh, S. / 1995 / Optimizing conditions for the growth of Lactobacillus casei YIT 9018 in tryptone-glucose medium by using response surface methodology / Appl. Environ. Microbiol 61:3809~3814
박선영 / 2014 / Application of Response Surface Methodology (RSM) for Optimization of Anti-Obesity Effect in Fermented Milk by Lactobacillus plantarum Q180 / 한국축산식품학회지 34(6):836~843
Logothetis, N. / 1989 / Quality through design:Experimental design, off-line quality control, and Taguchi's contributions / Oxford University Press
Myers, R. H. / 2009 / Response Surface Methodology: Process and Product Optimization Using Designed Experiments / John Wiley & Sons
Oh, S. / 1995 / Optimizing conditions for the growth of Lactobacillus casei YIT 9018 in tryptone-glucose medium by using response surface methodology / Appl. Environ. Microbiol 61:3809~3814
박선영 / 2014 / Application of Response Surface Methodology (RSM) for Optimization of Anti-Obesity Effect in Fermented Milk by Lactobacillus plantarum Q180 / 한국축산식품학회지 34(6):836~843
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