02876nam 2200637 a 450 991043786990332120200520144314.01-283-64035-X1-4614-5453-010.1007/978-1-4614-5453-3(CKB)3400000000085985(EBL)1030498(OCoLC)811139647(SSID)ssj0000767108(PQKBManifestationID)11511285(PQKBTitleCode)TC0000767108(PQKBWorkID)10739985(PQKB)10019593(DE-He213)978-1-4614-5453-3(MiAaPQ)EBC1030498(PPN)168303078(EXLCZ)99340000000008598520120814d2012 uy 0engur|n|---|||||txtccrMultivariate statistical quality control using R /Edgar Santos-Fernandez1st ed. 2013.New York Springer20121 online resource (133 p.)SpringerBriefs in statistics,2191-544XDescription based upon print version of record.1-4614-5452-2 Includes bibliographical references and index.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. .SpringerBriefs in Statistics,2191-544X ;14Quality controlStatistical methodsMultivariate analysisR (Computer program language)Quality controlStatistical methods.Multivariate analysis.R (Computer program language)658.5658.5/62658.562Santos-Fernandez Edgar1059539MiAaPQMiAaPQMiAaPQBOOK9910437869903321Multivariate Statistical Quality Control Using R2506818UNINA