Comparisons on the analysis of Poisson data

P. C. Wang*

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

6 Scopus citations


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 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 analyze the data set. Their comparison is also presented.

Original languageEnglish
Pages (from-to)379-383
Number of pages5
JournalQuality and Reliability Engineering International
Issue number5
StatePublished - 09 1999
Externally publishedYes


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