Asymptotic Theory of Taguchis Natural Estimators of the Signal to Noise Ratio for Dynamic Robust Parameter Design

Koji Tsukuda, Yasushi Nagata

研究成果: Article査読

1 被引用数 (Scopus)

抄録

This article discusses the asymptotic theory of Taguchis 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.

本文言語English
ページ(範囲)4734-4741
ページ数8
ジャーナルCommunications in Statistics - Theory and Methods
44
22
DOI
出版ステータスPublished - 2015 11 17

ASJC Scopus subject areas

  • Statistics and Probability

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