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Response Surface Methodology Using a Fullest Balanced Model: A Re-Analysis of a Dataset in the Korean Journal for Food Science of Animal Resources
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 whe...
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| Publicado en: | Korean J Food Sci Anim Resour |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Korean Society for Food Science of Animal Resources
2017
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5355578/ https://ncbi.nlm.nih.gov/pubmed/28316481 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.5851/kosfa.2017.37.1.139 |
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