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Information Journal Paper

Title

INVESTIGATING EFFECT OF AUTOCORRELATION ON MONITORING MULTIVARIATE LINEAR PROFILES

Pages

  187-193

Abstract

 Profile monitoring in statistical quality control has attracted attention of many researchers recently. A profile is a function between response variables and one or more independent variables. There have been only a limited number of researches on monitoring MULTIVARIATE LINEAR PROFILES. Indeed, monitoring correlated multivariate profiles is a new subject in the filled of statistical process control. In this paper, we investigate the effect of AUTOCORRELATIONs in monitoring MULTIVARIATE LINEAR PROFILES in phase II. The effect of three main models namely AR (1), MA (1), and ARMA (1, 1) on the methods of multivariate linear profile monitoring is evaluated and compared by using simulation study and AVERAGE RUN LENGTH criteria. Results indicate that AUTOCORRELATION affects performance of the existing methods significantly.

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    • Cite

    APA: Copy

    SOLEIMANI, P., & NOOROSSANA, R.. (2012). INVESTIGATING EFFECT OF AUTOCORRELATION ON MONITORING MULTIVARIATE LINEAR PROFILES. INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING AND PRODUCTION RESEARCH (IJIE) (ENGLISH), 23(3), 187-193. SID. https://sid.ir/paper/597441/en

    Vancouver: Copy

    SOLEIMANI P., NOOROSSANA R.. INVESTIGATING EFFECT OF AUTOCORRELATION ON MONITORING MULTIVARIATE LINEAR PROFILES. INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING AND PRODUCTION RESEARCH (IJIE) (ENGLISH)[Internet]. 2012;23(3):187-193. Available from: https://sid.ir/paper/597441/en

    IEEE: Copy

    P. SOLEIMANI, and R. NOOROSSANA, “INVESTIGATING EFFECT OF AUTOCORRELATION ON MONITORING MULTIVARIATE LINEAR PROFILES,” INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING AND PRODUCTION RESEARCH (IJIE) (ENGLISH), vol. 23, no. 3, pp. 187–193, 2012, [Online]. Available: https://sid.ir/paper/597441/en

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