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Analysis for Classified, Raking, Ratio, Missing, and Operating Window Data

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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.

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  • 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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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-6838-1

  • Online ISBN: 978-981-99-6839-8

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