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Cites:

Information Journal Paper

Title

A NEW METHOD IN STATISTICAL PROCESS CONTROL IN THE PRESENCE OF AUTO-CORRELATED AR(P) OBSERVATIONS

Pages

  63-70

Abstract

 In STATISTICAL PROCESS CONTROL, traditionally, the assumption is made that successive observations of a quality characteristic are independently distributed. However, in practice, the observations are often serially correlated, resulting in poor performances of control charts that work under independent assumption. This point has received considerable attention in the literature in the last decade. In this paper, we propose a new method to statistically control data from AR(p) processes. The results of different simulation studies show that the new method performs better than the best currently proposed method, in different scenarios of autocorrelation.

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    APA: Copy

    AKHAVAN NIAKI, S.T., & FALAHNEZHAD, M.S.. (2008). A NEW METHOD IN STATISTICAL PROCESS CONTROL IN THE PRESENCE OF AUTO-CORRELATED AR(P) OBSERVATIONS. INDUSTRIAL ENGINEERING & MANAGEMENT SHARIF (SHARIF: ENGINEERING), 24(43), 63-70. SID. https://sid.ir/paper/107626/en

    Vancouver: Copy

    AKHAVAN NIAKI S.T., FALAHNEZHAD M.S.. A NEW METHOD IN STATISTICAL PROCESS CONTROL IN THE PRESENCE OF AUTO-CORRELATED AR(P) OBSERVATIONS. INDUSTRIAL ENGINEERING & MANAGEMENT SHARIF (SHARIF: ENGINEERING)[Internet]. 2008;24(43):63-70. Available from: https://sid.ir/paper/107626/en

    IEEE: Copy

    S.T. AKHAVAN NIAKI, and M.S. FALAHNEZHAD, “A NEW METHOD IN STATISTICAL PROCESS CONTROL IN THE PRESENCE OF AUTO-CORRELATED AR(P) OBSERVATIONS,” INDUSTRIAL ENGINEERING & MANAGEMENT SHARIF (SHARIF: ENGINEERING), vol. 24, no. 43, pp. 63–70, 2008, [Online]. Available: https://sid.ir/paper/107626/en

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