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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/29531


    Title: Comparisons on the analysis of Poisson data
    Authors: Wang,PC
    Contributors: 工業管理研究所
    Date: 1999
    Issue Date: 2010-06-29 20:27:20 (UTC+8)
    Publisher: 中央大學
    Abstract: 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.
    Relation: QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
    Appears in Collections:[工業管理研究所 ] 期刊論文

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