Impact of Non-Normality on X-bar and R Control Charts for Weibull"
A Presentation by Jon Oaks
This talk provided a brief
overview of a research project that was conducted at Oakland University
fulfill a degree requirement. The idea for the project arose while
taking a Statistical Process Control
course. When the data are from a Weibull distribution, the impact of
skewness on the Type I risk when
using traditional control limit factors is studied, and adjusted
factors appropriate for Weibull data are
obtained. The relative efficiency of R versus s as estimators of the
standard deviation were also discussed.
Jon Oaks is currently a student and graduate teaching assistant in the
Applied Statistics Ph.D. program at
Oakland University. He has a B.S. in Applied Mathematics from Ferris
State University (2005) and will
soon receive an M.S. in Applied Statistics from Oakland University. His
interests include statistical
computing using the R program.
Cecilia Yee giving Jon
a Certificate of Appreciation from the Detroit Chapter