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Taguchi methods ((日本語:タグチメソッド)) are statistical methods developed by Genichi Taguchi to improve the quality of manufactured goods, and more recently also applied to engineering, biotechnology, marketing and advertising. Professional statisticians have welcomed the goals and improvements brought about by Taguchi methods, particularly by Taguchi's development of designs for studying variation, but have criticized the inefficiency of some of Taguchi's proposals.〔 Professional statisticians have welcomed Taguchi's concerns and emphasis on understanding variation (and not just the mean): * * * Box, G. E. P. and Draper, Norman. 2007. ''Response Surfaces, Mixtures, and Ridge Analyses'', Second Edition (''Empirical Model-Building and Response Surfaces'', 1987 ), Wiley. * Of course, these statisticians celebrate the achievements of Taguchi, the Edward Deming of Japan, whose books and trans-Atlantic visits helped industrial leaders appreciate the role of statistical methods in total quality management. That said, professional statisticians have criticized some of Taguchi's designs, as being less efficient than the traditional designs or optimal designs of response surface methodology. At the same time, the industrial adaption of even inefficient Taguchi designs demonstrated a market for response-surface methodology, which had been neglected by statistical researchers and textbooks. Taguchi's successes forced many improvements on statistical textbooks, which had to become more accessible to industrial practitioners. 〕 Taguchi's work includes three principal contributions to statistics: *A specific loss function *The philosophy of ''off-line quality control''; and *Innovations in the design of experiments. ==Loss functions== 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Taguchi methods」の詳細全文を読む スポンサード リンク
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