2012
DOI: 10.5899/2012/cna-00110
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Statistical Tests for Comparing Pareto Charts

Abstract: The Pareto chart is one of the most useful of the "magnificent seven", i.e. of the seven major SPC problem-solving tools. Sometimes a decision-maker is interested whether two Pareto charts corresponding to different processes differs significantly. In the present paper a new statistical test for comparing Pareto charts is suggested.

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Cited by 5 publications
(2 citation statements)
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“…Pareto charts were used for quantitatively recognizing the influence of each studied factors on the selected CQAs for screening. The objective of the pareto chart is to screen the most influential factor(s) among a typical large set of factor variables [32]. Based on Pareto chart (fig.…”
Section: Screening Of Influencing Factorsmentioning
confidence: 99%
“…Pareto charts were used for quantitatively recognizing the influence of each studied factors on the selected CQAs for screening. The objective of the pareto chart is to screen the most influential factor(s) among a typical large set of factor variables [32]. Based on Pareto chart (fig.…”
Section: Screening Of Influencing Factorsmentioning
confidence: 99%
“…12 One possible way of analyzing the partitioned data would be to create a Pareto chart for each factory and compare them against each other. This process has been investigated previously, 13,14 however 30 factories can be grouped into 435 pairs, so a pairwise comparison is not the ideal solution when there are many samples.…”
Section: Motivationmentioning
confidence: 99%