You are being redirected because this document is part of your ASTM Compass® subscription.
    This document is part of your ASTM Compass® subscription.

    Volume 44, Issue 4 (July 2016)

    X-Bar Control Charts for Non-Normal Correlated Data Under Repetitive Sampling

    (Received 15 July 2014; accepted 8 January 2015)

    Published Online: 12 July 2016

    CODEN: JTEVAB

      Format Pages Price  
    PDF (412K) 12 $25   ADD TO CART

    Cite this document

    X Add email address send
    X
      .RIS For RefWorks, EndNote, ProCite, Reference Manager, Zoteo, and many others.   .DOCX For Microsoft Word



    Abstract

    A control chart for non-normal correlated data under repetitive sampling is presented in this manuscript. A Burr distribution is employed to model the non-normal distribution. The proposed control chart is based on two sets of control limits whose coefficients are determined by considering the in-control average run length. The tables of the out-of-control average lengths for various shifts, sample size, and correlations are presented in the paper. The proposed control chart is found to be more efficient than the existing control chart based on single sampling in detection of small process shifts.


    Author Information:

    Aslam, Muhammad
    Department of Statistics, Faculty of Sciences, King Abdulaziz Univ., Jeddah,

    Khan, Nasrullah
    Department of Statistics, National College of Business Administration & Economics, Lahore,

    Azam, Muhammad
    Department of Statistics, Forman Christian College Univ., Lahore,


    Stock #: JTE20140290

    ISSN:0090-3973

    DOI: 10.1520/JTE20140290

    Author
    Title X-Bar Control Charts for Non-Normal Correlated Data Under Repetitive Sampling
    Symposium ,
    Committee E11