Design of Exponential Distributed Median Chart with Unknown Parameters
It is recommended to monitor the time between events(TBE)when the defect rate is very low.An unbiased median chart is proposed to monitor exponential distributed TBE data and some design parameters are provided for ease of application.For the parameter is usually unknown,the effects of estimation on the chart performance are evaluated in terms of conditional false alarm rate and the conditional average run length(ARL)distribution.It is find that the median statistical can significantly reduce the “practitioner-to-practitioner variability,and less number of reference samples are needed in phase I control chart.Moreover,the median chart ensures the sensitivity of the process shift to a certain extent.It is shown that the median statistical is an alternative one to monitor the exponential distributed TBE data.
TBE data median chart parameter estimation conditional run length distribution
Chengming Cao Yizhong Ma
School of Economics and Management,Nanjing University of Science and Technology,Nanjing,China,210094
国际会议
深圳
英文
182-187
2018-01-21（万方平台首次上网日期，不代表论文的发表时间）