In 1980, while working for the AT&T Bell Labs Quality Assurance Center, I was introduced to the Quality Measurement Plan (QMP). QMP is a Bayesian statistical algorithm that uses six periods of historical data to make a quality assessment. The assessment consists of a current index, process average, and best measure. The best measure was accompanied by 90% and 98% confidence intervals that created a box and whiskers graphic. In the thirty years since my introduction to this Bayesian algorithm I have not seen another quality assessment statistic that was as effective as QMP. In the interest of preserving this quality assessment tool I am publishing here, relevant papers on the topic of QMP. Additional papers on my implementation of this tool at Western Electric and DSC Communications are included under the "My Papers" tab.
QMP and Bayesian Statistics
Providing professional services on a contract basis since 2000.