Generalized linear models for the analysis of taguchi‐type experiments
作者:
J. A. Nelder,
Y. Lee,
期刊:
Applied Stochastic Models and Data Analysis
(WILEY Available online 1991)
卷期:
Volume 7,
issue 1
页码: 107-120
ISSN:8755-0024
年代: 1991
DOI:10.1002/asm.3150070110
出版商: John Wiley&Sons, Ltd.
关键词: Taguchi methods;Quality improvements;Generalized linear models;Data transformation;Joint modelling
数据来源: WILEY
摘要:
AbstractRecent interest in Taguchi's methods have led to developments in joint analysis of the mean and dispersion from designed experiments. A commonly used method is the analysis of variance of the transformed data. However, a single transformation cannot necessarily produce the Normality, constancy of variance and linearity of systematic effects for the mean and dispersion models. We describe the use of generalized linear models for the analysis of such experiments and illustrate the methods with a data set.
点击下载:
PDF
(847KB)
返 回