A Control Chart Based on Two-piece Normal Distribution Using Repetitive Sampling

被引：1
|
作者：
Rao, Gadde Srinivasa
Aslam, Muhammad
Azam, Muhammad
Jun, Chi-Hyuck
机构：
[1] Department of Statistics, School of Mathematical Sciences, CNMS, The University of Dodoma, PO. Box: 259, Dodoma
[2] Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah
[3] Department of Statistics and Computer Science, University of Veterinary and Animal Sciences, Lahore
[4] Department of Industrial and Management Engineering, POSTECH, Pohang
来源：
PAKISTAN JOURNAL OF STATISTICS AND OPERATION RESEARCH | 2018年 / 14卷 / 04期
关键词：
Two-piece normal distribution; control chart; repetitive sampling; average run length;
D O I：
10.18187/pjsor.v14i4.1561
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：
In this manuscript, a control chart is designed for two-piece normal distribution using repetitive sampling. The necessary measures to determine the average run lengths for in control and out-of-control process are given. The average run lengths are presented for various specified parameters and shift constants. The efficiency of the proposed chart is compared with the existing control chart using single sampling. The application of the proposed chart is given with the help of an example.
引用
收藏
页码：961 / 973
页数：13
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