Result: The Design of the Multivariate Synthetic Exponentially Weighted Moving Average Control Chart
Title:
The Design of the Multivariate Synthetic Exponentially Weighted Moving Average Control Chart
Authors:
Source:
Communications in statistics. Simulation and computation. 41(8-10):1785-1793
Publisher Information:
Colchester: Taylor & Francis, 2012.
Publication Year:
2012
Physical Description:
print, 1/2 p
Original Material:
INIST-CNRS
Subject Terms:
Mathematics, Mathématiques, Sciences exactes et technologie, Exact sciences and technology, Sciences et techniques communes, Sciences and techniques of general use, Mathematiques, Mathematics, Combinatoire. Structures ordonnées, Combinatorics. Ordered structures, Combinatoire, Combinatorics, Plans d'expériences et configurations, Designs and configurations, Probabilités et statistiques, Probability and statistics, Statistiques, Statistics, Plans d'expériences, Experimental design, Applications, Fiabilité, test de durée de vie, contrôle de la qualité, Reliability, life testing, quality control, Analyse numérique. Calcul scientifique, Numerical analysis. Scientific computation, Analyse numérique, Numerical analysis, Probabilités et statistiques numériques, Numerical methods in probability and statistics, Analyse multivariable, Multivariate analysis, Análisis multivariable, Carte contrôle, Control chart, Carta control, Chaîne Markov, Markov chain, Cadena Markov, Estimation moyenne, Mean estimation, Estimación promedio, Industrie, Industry, Industria, Ingénierie, Engineering, Ingeniería, Moyenne mobile, Moving average, Promedio móvil, Méthode statistique, Statistical method, Método estadístico, Méthode stochastique, Stochastic method, Método estocástico, Plan expérience, Experimental design, Plan experiencia, Simulation numérique, Numerical simulation, Simulación numérica, 05Bxx, 60J10, 62K99, 62P30, 65C40, 62H86, Average run length, Markov chain approach, Multivariate exponentially weighted moving average chart, Synthetic chart
Document Type:
Academic journal
Article
File Description:
text
Language:
English
Author Affiliations:
School of Engineering and Science, Swinburne University of Technology, Sarawak, Malaysia
ISSN:
0361-0918
Rights:
Copyright 2015 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Mathematics
Accession Number:
edscal.26164022
Database:
PASCAL Archive
Further Information
A mtrltivariate synthetic exponentially weighted moving average (MSEWMA) control chart is presented in this study. The MSEWMA control chart consists of a multivariate exponentially weighted moving average (MEWMA) control chart and a conforming run length control chart. The average run length of the MSEWMA control chart is obtained using a Markov chain approach. From the numerical comparisons, it is shown that the MSEWMA control chart is more efficient than the multivariate synthetic T2 control chart and the MEWMA control chart for detecting shifts in the process mean vector.