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Improving Six Sigma Project results through Binary Logistic Regression - a case study analysis
Technical Paper
2007-01-2646
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Binary Logistic Regression is a powerful tool to apply in Six Sigma projects, when the response is characterized as an attribute. This paper has the purpose to present a case study based on Binary Logistic Regression application in a Six Sigma DMAIC project, where the output of the process could only be measured as “component assembled Ok or component assembled Not Ok” - a binary response.
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Citation
Utiyama, M., "Improving Six Sigma Project results through Binary Logistic Regression - a case study analysis," SAE Technical Paper 2007-01-2646, 2007, https://doi.org/10.4271/2007-01-2646.Also In
References
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- Wichern Dean Johnson Richard. “Applied Multivariate Statistical Analysis” Prentice Hall
- Renata Neves Penha “Um estudo sobre a Regressão Logística Binária” Universidade Federal de Itajubá Minas Gerais 2002
- Hosmer D. Lemeshow S. “Applied Logistic Regression” John Wiley & Sons 1989