On the asymptotic correlationship for some process capability indices (C)over-cap(p), (C)over-cap(pk) and (C)over-cap(pm) under bivariate normal distribution

被引:0
作者
Cho, Joong-Jae [1 ]
Park, Hyo-Il [2 ]
机构
[1] Chungbuk Natl Univ, Dept Informat & Stat, Cheongju, South Korea
[2] Cheongju Univ, Dept Stat, 298 Daeseong Ro, Cheongju 28503, Chungcheongbuk, South Korea
关键词
asymptotic correlation coefficient; bivariate normal distribution; limiting distribution; process capability index; process performance;
D O I
10.5351/KJAS.2016.29.2.301
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
The process capability index is used to determine whether a production process is capable of producing items within a specified tolerance. Some process capability indices C-p , C-pk and C-pm have been of particular interest as useful management tools for tracking process performance. Most evaluations on process capability indices focus on statistical estimation and test of hypothesis. It is necessary to investigate their asymptotic correlationship among basic estimators (C) over cap (p) , (C) over cap (pk) and (C) over cap (pm) of process capability indices C-p , C-pk and C-pm. , In this paper, we study their asymptotic correlationship for three process capability indices (C) over cap (p) , (C) over cap (pk) and (C) over cap (pm) under bivariate normal distribution BN(mu(x), mu(y), sigma(2)(x), sigma(2)(y), rho). With some nonnormal processes, the asymptotic correlation coefficient of any two respective process capability index estimators could be established.
引用
收藏
页码:301 / 308
页数:8
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