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

作者：Tsukuda Koji; Nagata Yasushi^*

来源：Communications in Statistics - Theory and Methods, 2015, 44(22): 4734-4741.

DOI：10.1080/03610926.2013.809120

• Asymptotic normality
• Consistency
• Robust parameter design
• Signal to noise ratio
• Primary 62K25
• Secondary 62F12

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.

• 出版日期2015