Diagnosis Aids in Multivariate Multiple Linear Regression Profiles Monitoring

Autor:	Abbas Saghaei, Mohammad Reza Akhavan Mohseni, Yaser Zerehsaz, Amirhossein Amiri
Rok vydání:	2014
Předmět:	Statistics and Probability General linear model Multivariate statistics Proper linear model Bayesian multivariate linear regression Monte Carlo method Statistics Linear regression Data mining computer.software_genre Statistical process control computer Mathematics
Zdroj:	Communications in Statistics - Theory and Methods. 43:3057-3079
ISSN:	1532-415X 0361-0926
DOI:	10.1080/03610926.2012.694543
Popis:	Diagnosis aids in addition to detecting the out-of-control state is an important issue in multivariate multiple linear regression profiles monitoring; because a large number of parameters and profiles in this structure are involved. In this paper, we specifically concentrate on identification of profile(s) and parameter(s) which have changed during the process in multivariate multiple linear regression profiles structure in Phase II. We demonstrate the effectiveness of our proposed approaches through Monte Carlo simulations and a real case study in terms of accuracy percent.
Databáze:	OpenAIRE
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