Academic Journal

An EWMA control chart for the multivariate coefficient of variation

التفاصيل البيبلوغرافية
العنوان: An EWMA control chart for the multivariate coefficient of variation
المؤلفون: Giner-Bosch, Vicent, Tran, Kim Phuc, Castagliola, Philippe, Khoo, Michael Boon Chong
المساهمون: Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat, Generalitat Valenciana, Ministerio de Economía y Competitividad
بيانات النشر: John Wiley & Sons
سنة النشر: 2019
المجموعة: Universitat Politécnica de Valencia: RiuNet / Politechnical University of Valencia
مصطلحات موضوعية: Average run length, Doubly noncentral F distribution, EWMA, Multivariate coefficient of variation, Nelder-Mead method, Trimmed mean, ESTADISTICA E INVESTIGACION OPERATIVA
الوصف: This is the peer reviewed version of the following article: Giner-Bosch, V, Tran, KP, Castagliola, P, Khoo, MBC. An EWMA control chart for the multivariate coefficient of variation. Qual Reliab Engng Int. 2019; 35: 1515-1541, which has been published in final form at https://doi.org/10.1002/qre.2459. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving. ; [EN] Monitoring the multivariate coefficient of variation over time is a natural choice when the focus is on stabilising the relative variability of a multivariate process, as is the case in a significant number of real situations in engineering, health sciences, and finance, to name but a few areas. However, not many tools are available to practitioners with this aim. This paper introduces a new control chart to monitor the multivariate coefficient of variation through an exponentially weighted moving average (EWMA) scheme. Concrete methodologies to calculate the limits and evaluate the performance of the chart proposed and determine the optimal values of the chart's parameters are derived based on a theoretical study of the statistic being monitored. Computational experiments reveal that our proposal clearly outperforms existing alternatives, in terms of the average run length to detect an out-of-control state. A numerical example is included to show the efficiency of our chart when operating in practice. ; Generalitat Valenciana, Grant/Award Number: BEST/2017/033 and GV/2016/004; Ministerio de Economia y Competitividad, Grant/Award Number: MTM2013-45381-P ; Giner-Bosch, V.; Tran, KP.; Castagliola, P.; Khoo, MBC. (2019). An EWMA control chart for the multivariate coefficient of variation. Quality and Reliability Engineering International. 35(6):1515-1541. https://doi.org/10.1002/qre.2459 ; S ; 1515 ; 1541 ; 35 ; 6 ; Kang, C. W., Lee, M. S., Seong, Y. J., & Hawkins, D. M. (2007). A Control Chart for the Coefficient of Variation. Journal of Quality Technology, 39(2), 151-158. ...
نوع الوثيقة: article in journal/newspaper
اللغة: English
تدمد: 0748-8017
Relation: Quality and Reliability Engineering International; info:eu-repo/grantAgreement/GVA//BEST%2F2017%2F033/; info:eu-repo/grantAgreement/MINECO//MTM2013-45381-P/ES/DIFERENCIAS DE LONGEVIDAD EN LA UNION EUROPEA: APLICACION DE NUEVOS METODOS PARA SU EVALUACION Y ANALISIS/; info:eu-repo/grantAgreement/GVA//GV%2F2016%2F004/; https://doi.org/10.1002/qre.2459; urn:issn:0748-8017; http://hdl.handle.net/10251/160433
DOI: 10.1002/qre.2459
الاتاحة: http://hdl.handle.net/10251/160433
https://doi.org/10.1002/qre.2459
Rights: http://rightsstatements.org/vocab/InC/1.0/ ; info:eu-repo/semantics/openAccess
رقم الانضمام: edsbas.9806B78B
قاعدة البيانات: BASE
الوصف
تدمد:07488017
DOI:10.1002/qre.2459