Asymptotic Theory of Taguchi’s Natural Estimators of the Signal to Noise Ratio for Dynamic Robust Parameter Design

Koji Tsukuda and Yasushi Nagata

Communications in Statistics - Theory and Methods, 2015, vol. 44, issue 22, 4734-4741

Abstract: This article discusses the asymptotic theory of Taguchi’s natural estimators of the signal to noise ratio (SNR) for dynamic robust parameter design. Three asymptotic properties are shown. First, two natural estimators of the population SNR are asymptotically equivalent. Second, both of these estimators are consistent. Finally, both of these estimators are asymptotically normally distributed.

Date: 2015
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DOI: 10.1080/03610926.2013.809120

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