Abstract
Researchers use their accumulated knowledge as a base to create and embody new functions, improve the efficiency of existing mechanisms, and reduce the side effects of existing technologies. There is also the problem of global warming. A researcher tries to find a feasible combination of conditions from the conditions taken up. In this case, he wants to catch the overall optimum condition by partial experiments. It is an experimental design method. As a new experimental design method, we will introduce a method of applying the design matrices to the conference C matrices and analyzing it as a coefficient graph by regression analysis of the observed values. This chapter presents experimental procedures and analysis methods using actual cases. In addition, the method for adjusting the research goals from the analysis results is also presented.
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Mori, T. (2024). Conference Matrices for Application and Procedure. In: Conference Matrices for Optimizing and Applications. Springer, Singapore. https://doi.org/10.1007/978-981-99-6839-8_1
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DOI: https://doi.org/10.1007/978-981-99-6839-8_1
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