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Multivariate statistical process control with industrial applications

Robert L. Mason, John C. Young (Society for Industrial and Applied Mathematics, 2002)

 Abstrak

This applied, self-contained text provides detailed coverage of the practical aspects of multivariate statistical process control (MVSPC)based on the application of Hotelling's T2 statistic. MVSPC is the application of multivariate statistical techniques to improve the quality and productivity of an industrial process. The authors, leading researchers in this area who have developed major software for this type of charting procedure, provide valuable insight into the T2 statistic. Intentionally including only a minimal amount of theory, they lead readers through the construction and monitoring phases of the T2 control statistic using numerous industrial examples taken primarily from the chemical and power industries. These examples are applied to the construction of historical data sets to serve as a point of reference for the control procedure and are also applied to the monitoring phase, where emphasis is placed on signal location and interpretation in terms of the process variables.

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Jenis Koleksi : eBooks
No. Panggil : e20442739
Entri utama-Nama orang :
Entri tambahan-Nama orang :
Subjek :
Penerbitan : Philadelphia : Society for Industrial and Applied Mathematics, 2002
Sumber Pengatalogan LibUI eng rda
Tipe Konten text
Tipe Media computer
Tipe Carrier online resource
Deskripsi Fisik xiii, 263 pages : illustration
Tautan http://portal.igpublish.com/iglibrary/search/?14
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e20442739 02-17-493415400 TERSEDIA
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