Response Surface Methodology Using a Fullest Balanced Model: A Re-Analysis of a Dataset in the Korean Journal for Food Science of Animal Resources

Abstract 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 situa...

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Автори:	Sungsue Rheem, Insoo Rheem, Sejong Oh
Формат:	Artigo
Мова:	Inglês
Опубліковано:	Springer Nature 2017-02-01
Серія:	Food Science of Animal Resources
Предмети:	response surface methodology lack of fit second-order model fullest balanced model optimization search on a grid
Онлайн доступ:	https://doi.org/10.5851/kosfa.2017.37.1.139
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