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    题名: Comparisons on the analysis of Poisson data
    作者: Wang,PC
    贡献者: 工業管理研究所
    日期: 1999
    上传时间: 2010-06-29 20:27:20 (UTC+8)
    出版者: 中央大學
    摘要: Industrial experiments often result in the production of various data, both continuous data as well as discrete data. Most of the time, practitioners use a normal analysis for continuous data and a logistic regression analysis for binary data. Taguchi (System of Experirnental Design, Kraus International, New York, 1986) suggested that one use various signal-to-noise analyses when encountering different types of data. Engineers do not usually encounter Poisson data; however, in this paper a set of Poisson data is presented with three approaches to analyse the data set. Their comparison is also presented. Copyright (C) 1999 John Wiley & Sons, Ltd.
    關聯: QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
    显示于类别:[工業管理研究所 ] 期刊論文

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