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＜電子ブック＞
Multivariate Statistical Quality Control Using R / by Edgar Santos-Fernández
(SpringerBriefs in Statistics. ISSN:21915458 ; 14)

版	1st ed. 2013.
出版者	(New York, NY : Springer New York : Imprint: Springer)
出版年	2013
本文言語	英語
大きさ	X, 127 p. 55 illus., 28 illus. in color : online resource
著者標目	*Santos-Fernández, Edgar author SpringerLink (Online service)
件　名	LCSH:Mathematical statistics -- Data processing  全ての件名で検索 LCSH:Statistics  LCSH:Mathematical optimization FREE:Statistics and Computing FREE:Statistics FREE:Discrete Optimization
一般注記	An introduction to R -- Basic Statistical and SQC Procedures -- Multivariate Control Charts -- Multivariate Process Capability -- Multivariate tools of support for MSQC -- Appendix -- Index -- Problem -- Solutions The intensive use of automatic data acquisition system and the use of cloud computing for process monitoring have led to an increased occurrence of industrial processes that utilize statistical process control and capability analysis.  These analyses are performed almost exclusively with multivariate methodologies. The aim of this Brief is to present the most important MSQC techniques developed in R language. The book is divided into two  parts. The first part contains the basic R elements, an introduction to statistical procedures, and the main aspects related to Statistical Quality Control (SQC). The second part covers the construction of multivariate control charts, the calculation of Multivariate Capability Indices.  HTTP:URL=https://doi.org/10.1007/978-1-4614-5453-3

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