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  • Search: person:"Narvand, A."
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Year of publication
Subject
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Hotelling's T2 2 MCUSUM 2 MEWMA 2 autocorrelation 2 average run length 2 linear mixed model 2 Autocorrelation 1 Autokorrelation 1 Estimation theory 1 Profile monitoring 1 Schätztheorie 1 profile monitoring 1
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Online availability
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Free 2 Undetermined 1
Type of publication
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Article 3
Type of publication (narrower categories)
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Article 1 Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 3
Author
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Narvand, A. 3 Raissi, Sadigh 3 Soleimani, P. 3
Published in...
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Journal of industrial engineering international 2 Journal of Industrial Engineering International 1
Source
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ECONIS (ZBW) 1 EconStor 1 OLC EcoSci 1
Showing 1 - 3 of 3
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Phase II monitoring of auto-correlated linear profiles using linear mixed model
Narvand, A.; Soleimani, P.; Raissi, Sadigh - In: Journal of Industrial Engineering International 9 (2013), pp. 1-9
In many circumstances, the quality of a process or product is best characterized by a given mathematical function between a response variable and one or more explanatory variables that is typically referred to as profile. There are some investigations to monitor auto-correlated linear and...
Persistent link: https://www.econbiz.de/10011551796
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Cover Image
Phase II monitoring of auto-correlated linear profiles using linear mixed model
Narvand, A.; Soleimani, P.; Raissi, Sadigh - In: Journal of industrial engineering international 9 (2013), pp. 1-9
In many circumstances, the quality of a process or product is best characterized by a given mathematical function between a response variable and one or more explanatory variables that is typically referred to as profile. There are some investigations to monitor auto-correlated linear and...
Persistent link: https://www.econbiz.de/10009782421
Saved in:
Cover Image
Phase II monitoring of auto-correlated linear profiles using linear mixed model
Narvand, A.; Soleimani, P.; Raissi, Sadigh - In: Journal of industrial engineering international 9 (2013), pp. 1-9
In many circumstances, the quality of a process or product is best characterized by a given mathematical function between a response variable and one or more explanatory variables that is typically referred to as profile. There are some investigations to monitor auto-correlated linear and...
Persistent link: https://www.econbiz.de/10010186023
Saved in:
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