Abstract
The statistical quality-control technique of windowing takes advantage of the additive property of the Poisson probability distribution and the geometry of the data. There are abundant applications of windowing to observations that naturally occur in arrays or that are produced in them, such as computer chips, which are manufactured many at a time on wafers. Standard statistical procedures are used.
Publication Date
4-2017
Document Type
Article
Department, Program, or Center
School of Mathematical Sciences (COS)
Recommended Citation
Farnsworth, David L., "Poisson Windowing" (2017). The Mathematical Scientist, 42 (1), 43-50. Accessed from
https://repository.rit.edu/article/2119
Campus
RIT – Main Campus
