Comparison of linear predictors obtained by data transformation, generalized linear models (GLM) and response modeling methodology (RMM)-Reference-Cited by-同舟云学术

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Comparison of linear predictors obtained by data transformation, generalized linear models (GLM) and response modeling methodology (RMM)

Published:2008 Issue:4 Volume:24 Page:389-399
ISSN:0748-8017
Container-title:Quality and Reliability Engineering International
language:en
Short-container-title:Qual. Reliab. Engng. Int.

Author:

Shore Haim

Publisher

Wiley

Subject

Management Science and Operations Research,Safety, Risk, Reliability and Quality

Reference12 articles.

1. Response Modeling Methodology—Empirical Modeling for Engineering and Science. World Scientific Publishing Co. Ltd.: Singapore, 2005.

2. , . Generalized Linear Models, with Applications in Engineering and the Sciences. Wiley: New York, 2002.

3. Response modeling methodology (RMM)—maximum likelihood estimation procedures

4. Applications of Statistics to Industrial Experimentation. Wiley: New York, 1976.

5. , . Statistics for Experimenters. Wiley: New York, 1978.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SPC scheme to monitor linear predictors embedded in nonlinear profiles;Quality and Reliability Engineering International;2015-08-13

2. Response modeling methodology;WIREs Computational Statistics;2011-03-25

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