Profile Monitoring for Compositional Data
In a growing number of quality control applications, the quality of a product or process is best characterized and summarized by a functional relationship between a response variable and one or more explanatory variables. Profile monitoring is used to understand and to check the stability of this re...
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Universidad Nacional de Colombia
2014-06-01
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doaj-faab118b0679419ab34f1e0a74c9e1132020-11-25T02:13:23ZengUniversidad Nacional de Colombia Revista Colombiana de Estadística0120-17512014-06-0137115918110.15446/rce.v37n1.44364S0120-17512014000100011Profile Monitoring for Compositional DataRUBÉN DARÍO GUEVARA-GONZÁLEZ0JOSÉ ALBERTO VARGAS-NAVAS1DORIAN LUIS LINERO-SEGRERA2National University of ColombiaNational University of ColombiaNational University of ColombiaIn a growing number of quality control applications, the quality of a product or process is best characterized and summarized by a functional relationship between a response variable and one or more explanatory variables. Profile monitoring is used to understand and to check the stability of this relationship over time. In some applications with compositional data, the relationship can be characterized by a Dirichlet regression model. We evaluate five T² control charts for monitoring these profiles in Phase I. A real example from production of concrete is given.http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0120-17512014000100011&lng=en&tlng=encarta de controlcontrol estadístico de procesosdistribución Dirichlet |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
RUBÉN DARÍO GUEVARA-GONZÁLEZ JOSÉ ALBERTO VARGAS-NAVAS DORIAN LUIS LINERO-SEGRERA |
spellingShingle |
RUBÉN DARÍO GUEVARA-GONZÁLEZ JOSÉ ALBERTO VARGAS-NAVAS DORIAN LUIS LINERO-SEGRERA Profile Monitoring for Compositional Data Revista Colombiana de Estadística carta de control control estadístico de procesos distribución Dirichlet |
author_facet |
RUBÉN DARÍO GUEVARA-GONZÁLEZ JOSÉ ALBERTO VARGAS-NAVAS DORIAN LUIS LINERO-SEGRERA |
author_sort |
RUBÉN DARÍO GUEVARA-GONZÁLEZ |
title |
Profile Monitoring for Compositional Data |
title_short |
Profile Monitoring for Compositional Data |
title_full |
Profile Monitoring for Compositional Data |
title_fullStr |
Profile Monitoring for Compositional Data |
title_full_unstemmed |
Profile Monitoring for Compositional Data |
title_sort |
profile monitoring for compositional data |
publisher |
Universidad Nacional de Colombia |
series |
Revista Colombiana de Estadística |
issn |
0120-1751 |
publishDate |
2014-06-01 |
description |
In a growing number of quality control applications, the quality of a product or process is best characterized and summarized by a functional relationship between a response variable and one or more explanatory variables. Profile monitoring is used to understand and to check the stability of this relationship over time. In some applications with compositional data, the relationship can be characterized by a Dirichlet regression model. We evaluate five T² control charts for monitoring these profiles in Phase I. A real example from production of concrete is given. |
topic |
carta de control control estadístico de procesos distribución Dirichlet |
url |
http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0120-17512014000100011&lng=en&tlng=en |
work_keys_str_mv |
AT rubendarioguevaragonzalez profilemonitoringforcompositionaldata AT josealbertovargasnavas profilemonitoringforcompositionaldata AT dorianluislinerosegrera profilemonitoringforcompositionaldata |
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1724905534257102848 |