A New Statistical Approach for the DOE with the Attribute Response
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Abstract
The design of experiment (DOE) that has the result as an attribute is generally used. On the other hand, the current DOE method is quite complicated in that the user is supposed to transform the attribute result into the quantitative result, then turn it back again for a conclusion on the final parameter setting. The purpose of the research to find out the efficient method which has the same result with the DOE. Finally, the research discovered that the logistic regression can be applied instead and get the finally result of the parameters setting same as the original DOE method. According to the users, they do not need to transform the attribute result into the quantitative result; this is the main idea: the users save a lot of time on calculations and can conclude the parameter setting by only interpreting the result from a factorial plot of logistic regression.
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