Abstract
There are times when it is not possible to obtain the experimental results of research as a continuous quantity. It is expressed as the passing rate, which classifies the products into acceptable and unacceptable products, and the non-defective product ratio, which classifies the non-defective products into non-defective products. In addition, there are often missing samples, conditions that cannot be synthesized, and samples that exceed the measurement range. Here, we show (1) classification value/rank data (Mori, T.: Application and mathematics of the Taguchi method. Chapter 13.4: Analysis of classification value and ranking data, p. 264, Mori Consulting Office (2005)), (2) data (Mori, T.: Pocket Guidebook, Processing method when data cannot be obtained (Processing of missing data), pp. 26–27. Mori Consulting Office (2009)), (3) missing values, and (4) functional window analysis method.
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References
Mori, T. (2005). Application and mathematics of the Taguchi method, Chapter 13.4, Analysis of classification value and ranking data (p. 264). Mori Consulting Office.
Mori, T. (2009). Pocket Guidebook. In Processing method when data cannot be obtained (Processing of missing data) (pp. 26–27). Mori Consulting Office.
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Mori, T. (2024). Analysis for Classified, Raking, Ratio, Missing, and Operating Window Data. In: Conference Matrices for Optimizing and Applications. Springer, Singapore. https://doi.org/10.1007/978-981-99-6839-8_4
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DOI: https://doi.org/10.1007/978-981-99-6839-8_4
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