A hybrid exponentially weighted moving average chart for COM-Poisson distribution

被引：25
|
作者：
Aslam, Muhammad [1 ]
Khan, Nasrullah [2 ]
Jun, Chi-Hyuck [3 ]
机构：
[1] King Abdulaziz Univ, Dept Stat, Fac Sci, Jeddah 21551, Saudi Arabia
[2] Univ Vet & Anim Sci, Dept Stat, Jhang Campus, Lahore, Pakistan
[3] POSTECH, Dept Ind & Management Engn, Pohang 790784, South Korea
来源：
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL | 2018年 / 40卷 / 02期
基金：
新加坡国家研究基金会;
关键词：
Average run length; hybrid exponentially weighted moving average; Monte Carlo simulation; normal distribution; process monitoring;
D O I：
10.1177/0142331216659920
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We provide the complete design of a hybrid exponentially weighted moving average (HEWMA) control chart for COM-Poisson distribution. The necessary measures of the proposed control chart are given in this manuscript, and the average run lengths (ARLs) are determined through Monte Carlo simulation for various values of specified parameters. The performance of the proposed chart is compared with two existing control charts. The proposed chart is more efficient than these two existing charts in terms of ARLs; application of the proposed chart is described with the help of Montgomery's data (Introduction to Statistical Quality Control, John Wiley & Sons, New York, 2007).
引用
收藏
页码：456 / 461
页数：6
相关论文
共 50 条
  • [41] A Control Chart for COM-Poisson Distribution Using Multiple Dependent State Sampling
    Aslam, Muhammad
    Ahmad, Liaquat
    Jun, Chi-Hyuck
    Arif, Osama H.
    [J]. QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 2016, 32 (08) : 2803 - 2812
  • [42] Control chart for monitoring multivariate COM-Poisson attributes
    Saghir, Aamir
    Lin, Zhengyan
    [J]. JOURNAL OF APPLIED STATISTICS, 2014, 41 (01) : 200 - 214
  • [43] A New Hybrid Exponentially Weighted Moving Average Control Chart for Monitoring Process Mean: Discussion
    Haq, Abdul
    [J]. QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 2017, 33 (07) : 1629 - 1631
  • [44] A homogeneously weighted moving average control chart for Conway-Maxwell Poisson distribution
    Adeoti, Olatunde Adebayo
    Malela-Majika, Jean-Claude
    Shongwe, Sandile Charles
    Aslam, Muhammad
    [J]. JOURNAL OF APPLIED STATISTICS, 2022, 49 (12) : 3090 - 3119
  • [45] Percentiles of the run-length distribution of the Exponentially Weighted Moving Average (EWMA) median chart
    Tan, K. L.
    Chong, Z. L.
    Khoo, M. B. C.
    Teoh, W. L.
    Teh, S. Y.
    [J]. 1ST INTERNATIONAL CONFERENCE ON APPLIED & INDUSTRIAL MATHEMATICS AND STATISTICS 2017 (ICOAIMS 2017), 2017, 890
  • [46] Exponentially weighted moving average chart using zero-inflated negative binomial distribution
    Abbas, Ali
    Ali, Sajid
    Shah, Ismail
    [J]. JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, 2024, 94 (15) : 3375 - 3390
  • [47] COMPUTING THE PERCENTAGE POINTS OF THE RUN LENGTH DISTRIBUTION OF AN EXPONENTIALLY WEIGHTED MOVING AVERAGE CONTROL CHART
    GAN, FF
    [J]. JOURNAL OF QUALITY TECHNOLOGY, 1991, 23 (04) : 359 - 365
  • [48] A note on "designing of a hybrid exponentially weighted moving average"
    Ahmad, Shafiq
    Musliyar, Illias
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2018, 97 (1-4): : 375 - 377
  • [49] Outliers' detection with a sensitive exponentially weighted moving average control chart
    Raji, Ishaq Adeyanju
    Riaz, Muhammad
    Abujiya, Mu'azu Ramat
    Abbas, Nasir
    Lee, Muhammad Hisyam
    [J]. QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 2022, 38 (04) : 1790 - 1813
  • [50] A multivariate exponentially weighted moving average control chart for photovoltaic processess
    Coleman, JL
    Nickerson, J
    [J]. Conference Record of the Thirty-First IEEE Photovoltaic Specialists Conference - 2005, 2005, : 1281 - 1284
12345