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Comparisons on the analysis of Poisson data
Author(s) -
Wang P. C.
Publication year - 1999
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/(sici)1099-1638(199909/10)15:5<379::aid-qre265>3.0.co;2-h
Subject(s) - poisson distribution , poisson regression , data set , data mining , statistics , computer science , data analysis , binary data , count data , set (abstract data type) , logistic regression , econometrics , mathematics , binary number , population , demography , arithmetic , sociology , programming language
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 Experimental 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 © 1999 John Wiley & Sons, Ltd.