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Anne C. Shoemaker
Researcher at Bell Labs
Publications - 14
Citations - 2624
Anne C. Shoemaker is an academic researcher from Bell Labs. The author has contributed to research in topics: Taguchi methods & Logistic regression. The author has an hindex of 12, co-authored 14 publications receiving 2577 citations. Previous affiliations of Anne C. Shoemaker include Georgia Institute of Technology.
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Journal ArticleDOI
Taguchi's parameter design: a panel discussion
Bovas Abraham,Jock MacKay,George E. P. Box,Raghu N. Kacker,Thomas J. Lorenzen,James M. Lucas,Raymond H. Myers,G. Geoffrey Vining,John A. Nelder,M. S. Phadke,Jerome Sacks,William J. Welch,Anne C. Shoemaker,Kwok L. Tsui,Shin Taguchi,C. F. Jeff Wu,Vijayan N. Nair +16 more
TL;DR: A group of practitioners and researchers discuss the role of parameter design and Taguchi's methodology for implementing it and the importance of parameter-design principles with well-established statistical techniques.
Journal ArticleDOI
Signal-to-noise ratios, performance criteria, and transformations
George E. P. Box,Anne C. Shoemaker,Kwok-Leung Tsui,Ramón V. León,William C. Parr,Vijayan N. Nair,Daryl Pregibon,Raymond J. Carroll,David Ruppert,Berton H. Gunter,Neil R. Ullman +10 more
TL;DR: In this article, a more general transformation approach is introduced for other commonly met kinds of dependence between σ y and μ y (including no dependence), and a lambda plot is presented that uses the data to suggest an appropriate transformation.
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Graphical Methods for Assessing Logistic Regression Models
TL;DR: Modifications and extensions of linear model displays lead to three methods for diagnostic checking of logistic regression models, which are illustrated through the analyses of simulated and real data.
Journal Article
Economical experimentation methods for robust design
TL;DR: In this paper, the authors further develop and strengthen this response-model/combined-array approach and suggest examination of control-by-noise interaction plots suggested by the fitted-response model.
Journal ArticleDOI
Economical experimentation methods for robust design
TL;DR: This article further develops and strengthens the response-model/combined-array approach and recommended examination of control-by-noise interaction plots suggested by the fitted-response model, which can reveal control-factor settings that dampen the effects of individual noise factors.