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Fractional factorial design is a practical approach for studying multiple factors, with a minimum of experimental units.
In order to avoid this, a preliminary analysis of the manufacturing costs must be done with a minimum of experimental information.
The optimum values for maximum esterification percentage can be obtained by using a Box Behnken center-united design with a minimum of experimental work.
The analysis process will allow design work of future negative ion sources to be speeded up, with a minimum of experimental work.
The optimum values for maximum conversion ratio of oleic acid could be obtained by using a Box Behnken center-united design with a minimum of experimental work.
It has been designed to describe accurately vapour pressure of pure components, also at low reduced temperatures, using a minimum of experimental data.
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The genetic matrix permits designing the most straightforward testing strategy that provides the maximum information about GMOs in a sample in the minimum number of experimental steps.
We demonstrate that a quantitative representation of asphaltene deposited due to pressure depletion can be obtained with great precision using a minimum amount of experimental data.
A large variety of complementary TP techniques can be used with minimum variation of experimental conditions, thus allowing great characterization potential in a single apparatus.
This paper presents a modelling framework for design and analysis of PTC systems that requires a minimum amount of experimental data to develop and employ the necessary thermodynamic and reaction models and embeds them into a reactor model for simulation.
This approach gives the minimum number of experimental sets and provides with complete information about performance parameters influenced by factors.
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