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

DOI10.1080/03610926.2013.809120zbMath1338.62177OpenAlexW1975678765MaRDI QIDQ2807602

Koji Tsukuda, Yasushi Nagata

Publication date: 25 May 2016

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2013.809120

zbMATH Keywords

consistencyasymptotic normalitysignal to noise ratiorobust parameter design

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Robust parameter designs (62K25)

Cites Work

• On the asymptotic distributions of some process capability indices.
• Testing the Equality of the Noncentrality Parameters of Two Noncentralt-Distributions with Identical Degrees of Freedom
• On estimating signal-to-noise ratio using the sample correlation coefficient (Corresp.)
• Taguchi's Quality Engineering Handbook
• Unnamed Item

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