Talk:Taguchi loss function

	Engineering portal This article is within the scope of WikiProject Engineering, a collaborative effort to improve the coverage of engineering on Wikipedia. If you would like to participate, please visit the project page, where you can join the discussion and see a list of open tasks.EngineeringWikipedia:WikiProject EngineeringTemplate:WikiProject EngineeringEngineering articles
???	This article has not yet received a rating on the project's importance scale.

Statistics Low‑importance

	This article is within the scope of WikiProject Statistics, a collaborative effort to improve the coverage of statistics on Wikipedia. If you would like to participate, please visit the project page, where you can join the discussion and see a list of open tasks.StatisticsWikipedia:WikiProject StatisticsTemplate:WikiProject StatisticsStatistics articles
Low	This article has been rated as Low-importance on the importance scale.

This article really doesn't need to exist - the Taguchi loss function is better explained within the Taguchi methods article itself. That said, the following was in the article but is actually commentary, so moving it here. Anastrophe (talk) 05:25, 11 September 2013 (UTC)[reply]

(The following is a different author's contribution, I am merely quoting it):

NOTE: Lean Dynamics and Six Sigma have little to do with Taguchi and his work, other than being influenced by it. If being influenced is enough to merit mention in a definition , then this should be a much longer list. This looks a bit like a clever attempt to promote a certain point of view, which is not scholarship, but promotion. The only books that should be quoted are those by Taguchi and his direct followers in Robust Design, and Taguchi Design: "Introduction to Quality Engineering, Designing Quality into Products and Processes" Genichi Taguchi, Asian Productivity Organization, 1986 and the excellent introduction to Robust Design by one of his Students "Madhav S. Phadke" published by Prentice Hall "Quality Engineering using Robust Design."