Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Patrícia Ferreira Ramos"'
Publikováno v:
Revstat Statistical Journal, Vol 12, Iss 3 (2014)
Misleading signals (MS) are valid alarms which correspond to the misinterpretation of a shift in the process mean (resp. variance) as a shift in the process variance (resp. mean), when we deal with simultaneous schemes for these two parameters. MS ca
Externí odkaz:
https://doaj.org/article/a590448035394b0ab01dc66db9fb4883
Autor:
António Pacheco, Wolfgang Schmid, Patrícia Ferreira Ramos, Manuel Cabral Morais, Taras Lazariv
Publikováno v:
Quality and Reliability Engineering International. 36:642-651
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b315fa5c9045e45dd2e8093b6d7bb648
https://doi.org/10.1002/qre.2598
https://doi.org/10.1002/qre.2598
Autor:
Wolfgang Schmid, Ivan Semeniuk, Patrícia Ferreira Ramos, Manuel Cabral Morais, António Pacheco, Taras Lazariv
Publikováno v:
AStA Advances in Statistical Analysis. 103:289-303
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95046426d7280b5330d8bc9c0f0b9dc1
https://doi.org/10.1007/s10182-018-00344-y
https://doi.org/10.1007/s10182-018-00344-y
Autor:
António Pacheco, Patrícia Ferreira Ramos, Manuel Cabral Morais, Taras Lazariv, Wolfgang Schmid
Publikováno v:
AStA Advances in Statistical Analysis. 103:257-287
The performance of a product frequently relies on more than one quality characteristic. In such a setting, joint control schemes are used to determine whether or not we are in the presence of unfavorable disruptions in the location ( $${\varvec{\mu }
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fbaf6cff47fae108790735229abe1e88
https://doi.org/10.1007/s10182-018-00331-3
https://doi.org/10.1007/s10182-018-00331-3
Publikováno v:
Statistical Papers. 57:471-498
The performance of a product often depends on several quality characteristics. Simultaneous schemes for the process mean vector $$(\varvec{\mu })$$ and the covariance matrix ( $$\varvec{\Sigma }$$ ) are essential to determine if unusual variation in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::beb5f39a1fa2754a8d2dda62ae12b04a
https://doi.org/10.1007/s00362-015-0663-5
https://doi.org/10.1007/s00362-015-0663-5
Publikováno v:
Sequential Analysis. 32:214-229
Misleading signals (MS) are likely to happen while using a simultaneous scheme to control the mean vector (μ) and the covariance matrix (Σ) of a bivariate process. They correspond to valid signals that lead to a misinterpretation of a shift in μ (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7927c43f600904df3ce93ad6661085a3
https://doi.org/10.1080/07474946.2013.774619
https://doi.org/10.1080/07474946.2013.774619
Publikováno v:
Frontiers in Statistical Quality Control 11 ISBN: 9783319123547
Standard practice in statistical process control (SPC) is to run two individual charts, one for the process mean and another one for the process variance. The resulting scheme is known as a simultaneous scheme and it provides a way to satisfy Shewhar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a2a40c9ff21f7a7c4d706e9c73f7e26
https://doi.org/10.1007/978-3-319-12355-4_12
https://doi.org/10.1007/978-3-319-12355-4_12
Publikováno v:
Studies in Theoretical and Applied Statistics ISBN: 9783642349034
Assessing the performance of simultaneous schemes for the process mean and variance requires the use of the probability of misleading signals (PMS). This chapter discusses the impact of autocorrelation on the PMS of simultaneous Shewhart and EWMA res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2674c6749191c7b58705b7452e9999fc
https://doi.org/10.1007/978-3-642-34904-1_18
https://doi.org/10.1007/978-3-642-34904-1_18
Publikováno v:
Recent Developments in Modeling and Applications in Statistics ISBN: 9783642324185
In a bivariate setting, misleading signals (MS) correspond to valid alarms which lead to the misinterpretation of a shift in the mean vector (resp. covariance matrix) as a shift in the covariance matrix (resp. mean vector). While dealing with bivaria
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe75b076fe45fd8262df3b6f733306de
https://doi.org/10.1007/978-3-642-32419-2_23
https://doi.org/10.1007/978-3-642-32419-2_23
Publikováno v:
Frontiers in Statistical Quality Control 10 ISBN: 9783790828450
Misleading signals (MS) correspond to the misinterpretation of a shift in the process mean (variance) as a shift in the process variance (mean). MS occur when: The individual chart for the mean triggers a signal before the one for the variance, even
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac56fbdcf43523795e2e2033fe6e0905
https://doi.org/10.1007/978-3-7908-2846-7_3
https://doi.org/10.1007/978-3-7908-2846-7_3