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1980
In earlier chapters, I have discussed a very simple experiment on two treatments. In many practical situations, the subjects or materials fall naturally into groups, or can be organized as groups.
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In earlier chapters, I have discussed a very simple experiment on two treatments. In many practical situations, the subjects or materials fall naturally into groups, or can be organized as groups.
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2018
In the case of lack of theoretical knowledge of the relationships between input and outputs variables of a system, we have a second possibility: the experimental reconstruction of these relationships. In the case of theoretical knowledge, the system is represented by linear or nonlinear equations between input and output variables, while in the absence
Alessandro Freddi, Mario Salmon
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In the case of lack of theoretical knowledge of the relationships between input and outputs variables of a system, we have a second possibility: the experimental reconstruction of these relationships. In the case of theoretical knowledge, the system is represented by linear or nonlinear equations between input and output variables, while in the absence
Alessandro Freddi, Mario Salmon
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2009
Abstract After the failure analysis team hypothesizes failure causes, prepares a failure mode assessment and assignment, and evaluates all potential failure causes, it may find in some cases that several causes are still suspect but cannot be confirmed. In this situation, an experiment is necessary to confirm or rule out suspected causes.
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Abstract After the failure analysis team hypothesizes failure causes, prepares a failure mode assessment and assignment, and evaluates all potential failure causes, it may find in some cases that several causes are still suspect but cannot be confirmed. In this situation, an experiment is necessary to confirm or rule out suspected causes.
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1990
Design of experiments consists of a series of techniques used to explore various operating conditions of a process with the goal of finding lower raw material, process, and product costs, improved or new product performance, less product variability, or higher production capacity to meet increasing demand.
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Design of experiments consists of a series of techniques used to explore various operating conditions of a process with the goal of finding lower raw material, process, and product costs, improved or new product performance, less product variability, or higher production capacity to meet increasing demand.
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