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Optimization of light and temperature for growingChlorellasp. using response surface methodology

✍ Scribed by J. L. García Sánchez; J. A. Sánchez Pérez; F. García Camacho; J. M. Fernández Sevilla; E. Molina Grima

Publisher
Springer-Verlag
Year
1996
Tongue
English
Weight
343 KB
Volume
10
Category
Article
ISSN
0951-208X

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## Abstract Typically in the analysis of industrial data for product/process optimization, there are many response variables that are under investigation at the same time. Robustness is also an important concept in industrial optimization. Here, robustness means that the responses are not sensitive