THE EFFECT OF MISCLASSIFICATION DUE TO MEASUREMENT ERROR ON CUSUM CONTROL CHARTS FOR INTERVENED POISSON DISTRIBUTION
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Cadernos do IME. Série Estatística (Online) |
Texto Completo: | https://www.e-publicacoes.uerj.br/cadest/article/view/25564 |
Resumo: | DOI: 10.12957/cadest.2017.25564In this paper the one-sided CUSUM chart for controlling the incidence and intervention parameters of the IPD under misclassification error due to measurement is discussed. Explicit formulae are derived for this purpose. The sensitivity of the parameters of the V-mask and the Average Run Length (ARL) is studied through numerical evaluation for grid of values. Numerical results presented reveal that the angle ø of the mask increases slightly as shift in the ratio ƟƐ1/ ƟƐ2 decreases, whereas, for fixed α, the values of decrease considerably as the deviation of ƟƐ0 from ƟƐ1 increases. It is also shown that measurement error lessens the consumer’s risk, e2 (because it gives early detection for the shift of the process parameter) and increases the producer’s risk, e1 . Further for fixed ,e1 , α, ƟƐ0,ƟƐ1 , the values of ρ .Keywords: Measurement error, Misclassification, Intervened Poisson distribution. |
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THE EFFECT OF MISCLASSIFICATION DUE TO MEASUREMENT ERROR ON CUSUM CONTROL CHARTS FOR INTERVENED POISSON DISTRIBUTIONDOI: 10.12957/cadest.2017.25564In this paper the one-sided CUSUM chart for controlling the incidence and intervention parameters of the IPD under misclassification error due to measurement is discussed. Explicit formulae are derived for this purpose. The sensitivity of the parameters of the V-mask and the Average Run Length (ARL) is studied through numerical evaluation for grid of values. Numerical results presented reveal that the angle ø of the mask increases slightly as shift in the ratio ƟƐ1/ ƟƐ2 decreases, whereas, for fixed α, the values of decrease considerably as the deviation of ƟƐ0 from ƟƐ1 increases. It is also shown that measurement error lessens the consumer’s risk, e2 (because it gives early detection for the shift of the process parameter) and increases the producer’s risk, e1 . Further for fixed ,e1 , α, ƟƐ0,ƟƐ1 , the values of ρ .Keywords: Measurement error, Misclassification, Intervened Poisson distribution. Universidade do Estado do Rio de Janeiro2017-10-23info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionAvaliado pelos Paresapplication/pdfhttps://www.e-publicacoes.uerj.br/cadest/article/view/2556410.12957/cadest.2017.25564Cadernos do IME - Série Estatística; v. 42 (2017): Volume 42, Junho DE 2017; 12317-45361413-9022reponame:Cadernos do IME. Série Estatística (Online)instname:Universidade do Estado do Rio de Janeiro (UERJ)instacron:UERJporhttps://www.e-publicacoes.uerj.br/cadest/article/view/25564/21993Chakraborty, Ashit B.Khurshid, Anwerinfo:eu-repo/semantics/openAccess2023-10-02T20:56:35Zoai:ojs.www.e-publicacoes.uerj.br:article/25564Revistahttps://www.e-publicacoes.uerj.br/index.php/cadestPUBhttps://www.e-publicacoes.uerj.br/index.php/cadest/oaifabiano@ime.uerj.br||fabiano@ime.uerj.br2317-45361413-9022opendoar:2024-05-17T13:37:35.548738Cadernos do IME. Série Estatística (Online) - Universidade do Estado do Rio de Janeiro (UERJ)false |
dc.title.none.fl_str_mv |
THE EFFECT OF MISCLASSIFICATION DUE TO MEASUREMENT ERROR ON CUSUM CONTROL CHARTS FOR INTERVENED POISSON DISTRIBUTION |
title |
THE EFFECT OF MISCLASSIFICATION DUE TO MEASUREMENT ERROR ON CUSUM CONTROL CHARTS FOR INTERVENED POISSON DISTRIBUTION |
spellingShingle |
THE EFFECT OF MISCLASSIFICATION DUE TO MEASUREMENT ERROR ON CUSUM CONTROL CHARTS FOR INTERVENED POISSON DISTRIBUTION Chakraborty, Ashit B. |
title_short |
THE EFFECT OF MISCLASSIFICATION DUE TO MEASUREMENT ERROR ON CUSUM CONTROL CHARTS FOR INTERVENED POISSON DISTRIBUTION |
title_full |
THE EFFECT OF MISCLASSIFICATION DUE TO MEASUREMENT ERROR ON CUSUM CONTROL CHARTS FOR INTERVENED POISSON DISTRIBUTION |
title_fullStr |
THE EFFECT OF MISCLASSIFICATION DUE TO MEASUREMENT ERROR ON CUSUM CONTROL CHARTS FOR INTERVENED POISSON DISTRIBUTION |
title_full_unstemmed |
THE EFFECT OF MISCLASSIFICATION DUE TO MEASUREMENT ERROR ON CUSUM CONTROL CHARTS FOR INTERVENED POISSON DISTRIBUTION |
title_sort |
THE EFFECT OF MISCLASSIFICATION DUE TO MEASUREMENT ERROR ON CUSUM CONTROL CHARTS FOR INTERVENED POISSON DISTRIBUTION |
author |
Chakraborty, Ashit B. |
author_facet |
Chakraborty, Ashit B. Khurshid, Anwer |
author_role |
author |
author2 |
Khurshid, Anwer |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Chakraborty, Ashit B. Khurshid, Anwer |
description |
DOI: 10.12957/cadest.2017.25564In this paper the one-sided CUSUM chart for controlling the incidence and intervention parameters of the IPD under misclassification error due to measurement is discussed. Explicit formulae are derived for this purpose. The sensitivity of the parameters of the V-mask and the Average Run Length (ARL) is studied through numerical evaluation for grid of values. Numerical results presented reveal that the angle ø of the mask increases slightly as shift in the ratio ƟƐ1/ ƟƐ2 decreases, whereas, for fixed α, the values of decrease considerably as the deviation of ƟƐ0 from ƟƐ1 increases. It is also shown that measurement error lessens the consumer’s risk, e2 (because it gives early detection for the shift of the process parameter) and increases the producer’s risk, e1 . Further for fixed ,e1 , α, ƟƐ0,ƟƐ1 , the values of ρ .Keywords: Measurement error, Misclassification, Intervened Poisson distribution. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-10-23 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Avaliado pelos Pares |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://www.e-publicacoes.uerj.br/cadest/article/view/25564 10.12957/cadest.2017.25564 |
url |
https://www.e-publicacoes.uerj.br/cadest/article/view/25564 |
identifier_str_mv |
10.12957/cadest.2017.25564 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://www.e-publicacoes.uerj.br/cadest/article/view/25564/21993 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade do Estado do Rio de Janeiro |
publisher.none.fl_str_mv |
Universidade do Estado do Rio de Janeiro |
dc.source.none.fl_str_mv |
Cadernos do IME - Série Estatística; v. 42 (2017): Volume 42, Junho DE 2017; 1 2317-4536 1413-9022 reponame:Cadernos do IME. Série Estatística (Online) instname:Universidade do Estado do Rio de Janeiro (UERJ) instacron:UERJ |
instname_str |
Universidade do Estado do Rio de Janeiro (UERJ) |
instacron_str |
UERJ |
institution |
UERJ |
reponame_str |
Cadernos do IME. Série Estatística (Online) |
collection |
Cadernos do IME. Série Estatística (Online) |
repository.name.fl_str_mv |
Cadernos do IME. Série Estatística (Online) - Universidade do Estado do Rio de Janeiro (UERJ) |
repository.mail.fl_str_mv |
fabiano@ime.uerj.br||fabiano@ime.uerj.br |
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1799319015625064448 |