Testing in industrial experiments with ordered categorical data
作者： Vijayan N. Nair
DOI: 10.2307/1268974
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摘要: This article deals with some techniques for analyzing ordered categorical data from industrial experiments quality improvement. Taguchi's accumulation analysis method is shown to have reasonable power fordetecting important location effects; however, it an unnecessarily complicated procedure. For detecting dispersion effects, need not even be as powerful Pearson's chi-squared test. Instead two simple and easy use scoring schemes are suggested identifying the effects separately. The illustrated on experiment optimize process of forming contact windows in complementary metal-oxide semiconductor circuits.
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