Statistical Process Control of Over-Dispersed Multivariate Count Data
Statistical process control of multi-attribute data has received much attention. However, little work has been done on over-dispersed multivariate count data with either positive or negative correlations. In this article, we focus on designing a new control scheme for such kind of data. The new method models the data with the Poisson Log-normal distribution and monitors the process with Hotelling T2 control chart. The parameter estimation is achieved via Quasi-Newton algorithm. The limitation of some existing multiattribute control charts in presence of overdispersion is also shown. Furthermore, the performance of the new control chart is evaluated by Monte Carlo simulation.
Multivariate count data over-dispersed Data Poisson-log normal distribution Hotelling T2 control chart.
Yan-ting LI Li-feng XI
School of Mechanical Engineering,Shanghai Jiao Tong University,Shanghai,China
国际会议
厦门
英文
888-892
2010-10-29（万方平台首次上网日期，不代表论文的发表时间）