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Box–Cox Transformations and the Taguchi Method

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  • N. Logothetis

Abstract

In this paper we assess the capability of Box–Cox transformations for simplifying and (statistically) validating a ‘Taguchi analysis’. We consider the possibility when a Box–Cox transformation can induce a mean bias in the variability performance measure which can inhibit the production of clear‐cut results, and we suggest a safeguard against this. A simple alternative method for choosing a data transformation is suggested, which ensures the determination of simple, valid and independent performance measures for the mean response and the variability in the response. The methods are demonstrated on data from a recent application of the ‘Taguchi method’ for the optimization of a multiresponse plasma etching process.

Suggested Citation

  • N. Logothetis, 1990. "Box–Cox Transformations and the Taguchi Method," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 39(1), pages 31-48, March.
  • Handle: RePEc:bla:jorssc:v:39:y:1990:i:1:p:31-48
    DOI: 10.2307/2347809
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