A multivariate EWMA control chart for skewed populations using weighted variance method

This article proposes Multivariate Exponential Weighted Moving Average control chart for skewed population using heuristic Weighted Variance (WV) method, obtained by decomposing the variance into the upper and lower segments according to the direction and degree of skewness.This method adjusts the...

Full description

Bibliographic Details
Main Authors: AMA, Atta, MHA, Shoraim, Syed Yahaya, Sharipah Soaad
Format: Article
Language:English
Published: IRJSE 2014
Subjects:
Online Access:https://repo.uum.edu.my/id/eprint/20175/1/IRJSE%202014%202%206%20191-202.pdf
_version_ 1803627852069863424
author AMA, Atta
MHA, Shoraim
Syed Yahaya, Sharipah Soaad
author_facet AMA, Atta
MHA, Shoraim
Syed Yahaya, Sharipah Soaad
author_sort AMA, Atta
collection UUM
description This article proposes Multivariate Exponential Weighted Moving Average control chart for skewed population using heuristic Weighted Variance (WV) method, obtained by decomposing the variance into the upper and lower segments according to the direction and degree of skewness.This method adjusts the variance-covariance matrix of quality characteristics.The proposed chart, called WV-MEWMA hereafter, reduces to standard multivariate Exponential Weighted Moving Average control chart (standard MEWMA) when the underlying distribution is symmetric.In control and out-of-control ARLs of the proposed WV-MEWMA control chart are compared with those of the weighted standard deviation Exponential Weighted Moving Average (WSD-MEWMA) and (standard MEWMA) control charts for multivariate normal, lognormal and gamma distributions. In general, the simulation results show that the performance of the proposed WV-MEWMA chart is better than WSD-MEWMA and Standard MEWMA charts when the underlying distributions are skewed.
first_indexed 2024-07-04T06:12:38Z
format Article
id uum-20175
institution Universiti Utara Malaysia
language English
last_indexed 2024-07-04T06:12:38Z
publishDate 2014
publisher IRJSE
record_format dspace
spelling uum-201752016-12-04T06:45:33Z https://repo.uum.edu.my/id/eprint/20175/ A multivariate EWMA control chart for skewed populations using weighted variance method AMA, Atta MHA, Shoraim Syed Yahaya, Sharipah Soaad QA Mathematics This article proposes Multivariate Exponential Weighted Moving Average control chart for skewed population using heuristic Weighted Variance (WV) method, obtained by decomposing the variance into the upper and lower segments according to the direction and degree of skewness.This method adjusts the variance-covariance matrix of quality characteristics.The proposed chart, called WV-MEWMA hereafter, reduces to standard multivariate Exponential Weighted Moving Average control chart (standard MEWMA) when the underlying distribution is symmetric.In control and out-of-control ARLs of the proposed WV-MEWMA control chart are compared with those of the weighted standard deviation Exponential Weighted Moving Average (WSD-MEWMA) and (standard MEWMA) control charts for multivariate normal, lognormal and gamma distributions. In general, the simulation results show that the performance of the proposed WV-MEWMA chart is better than WSD-MEWMA and Standard MEWMA charts when the underlying distributions are skewed. IRJSE 2014 Article PeerReviewed application/pdf en cc_by https://repo.uum.edu.my/id/eprint/20175/1/IRJSE%202014%202%206%20191-202.pdf AMA, Atta and MHA, Shoraim and Syed Yahaya, Sharipah Soaad (2014) A multivariate EWMA control chart for skewed populations using weighted variance method. International Research Journal of Science and Engineering (IRJSE), 2 (6). pp. 191-202. ISSN 2322-0015 http://www.irjse.in/volume2(6).html
spellingShingle QA Mathematics
AMA, Atta
MHA, Shoraim
Syed Yahaya, Sharipah Soaad
A multivariate EWMA control chart for skewed populations using weighted variance method
title A multivariate EWMA control chart for skewed populations using weighted variance method
title_full A multivariate EWMA control chart for skewed populations using weighted variance method
title_fullStr A multivariate EWMA control chart for skewed populations using weighted variance method
title_full_unstemmed A multivariate EWMA control chart for skewed populations using weighted variance method
title_short A multivariate EWMA control chart for skewed populations using weighted variance method
title_sort multivariate ewma control chart for skewed populations using weighted variance method
topic QA Mathematics
url https://repo.uum.edu.my/id/eprint/20175/1/IRJSE%202014%202%206%20191-202.pdf
work_keys_str_mv AT amaatta amultivariateewmacontrolchartforskewedpopulationsusingweightedvariancemethod
AT mhashoraim amultivariateewmacontrolchartforskewedpopulationsusingweightedvariancemethod
AT syedyahayasharipahsoaad amultivariateewmacontrolchartforskewedpopulationsusingweightedvariancemethod
AT amaatta multivariateewmacontrolchartforskewedpopulationsusingweightedvariancemethod
AT mhashoraim multivariateewmacontrolchartforskewedpopulationsusingweightedvariancemethod
AT syedyahayasharipahsoaad multivariateewmacontrolchartforskewedpopulationsusingweightedvariancemethod