Show simple item record

dc.contributor.authorGraves, Spe
dc.contributor.authorBisgaard, Soren
dc.date.accessioned2014-06-09T16:35:37Z
dc.date.available2014-06-09T16:35:37Z
dc.date.issued1997-09
dc.identifier.urihttp://digital.library.wisc.edu/1793/69247
dc.description.abstractIn this article we explore the general non-robustness of traditional root sum of squares statistical tolerancing and describe, in particular, how it can fail. These are [1] deficiencies in the functional model, [2] lower process capability in inputs that what is desired of outputs, [3] biases, [4] correlations, and [5] non-normality. We also show that statistical tolerancing is extremely non-robust to the first four types of causes. Moreover we provide examples of each type and discuss what to do about each.en
dc.titleFive Ways Statistical Tolerancing Can Fail and What to Do About Themen
dc.typeTechnical Reporten


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record