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Multivariate Process Capability Indices: A Directional Approach

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  • Miroslav Šiman

Abstract

We propose a unified, universal, natural, and very intuitive way how to obtain new multivariate and tool wear extensions of univariate process capability indices by means of projection pursuit. We also illustrate the methodology in detail of the popular precision and accuracy indices, generalize the latter in a few different ways in the same spirit, add some personal insight, discuss the computational issues involved, and demonstrate the advantages of our approach in a small data example.

Suggested Citation

  • Miroslav Šiman, 2014. "Multivariate Process Capability Indices: A Directional Approach," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 43(9), pages 1949-1955, May.
    • Handle: RePEc:taf:lstaxx:v:43:y:2014:i:9:p:1949-1955
    DOI: 10.1080/03610926.2012.677926
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    Cited by:

    1. Daniel Hlubinka & Lukáš Kotík & Miroslav Šiman, 2022. "Multivariate quantiles with both overall and directional probability interpretation," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 49(4), pages 1586-1604, December.

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