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...

Full description

Bibliographic Details
Main Authors: RUBÉN DARÍO GUEVARA-GONZÁLEZ, JOSÉ ALBERTO VARGAS-NAVAS, DORIAN LUIS LINERO-SEGRERA
Format: Article
Language:English
Published: Universidad Nacional de Colombia 2014-06-01
Series:Revista Colombiana de Estadística
Subjects:
Online Access:http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0120-17512014000100011&lng=en&tlng=en
id doaj-faab118b0679419ab34f1e0a74c9e113
record_format Article
spelling 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
_version_ 1724905534257102848