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Multivariate Statistical Quality Control Using R: SpringerBriefs in Statistics, cartea 14

Autor Edgar Santos-Fernández
en Limba Engleză Paperback – 22 sep 2012
​​​​​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.
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Specificații

ISBN-13: 9781461454526
ISBN-10: 1461454522
Pagini: 140
Ilustrații: X, 127 p. 55 illus., 28 illus. in color.
Dimensiuni: 155 x 235 x 7 mm
Greutate: 0.18 kg
Ediția:2013
Editura: Springer
Colecția Springer
Seria SpringerBriefs in Statistics

Locul publicării:New York, NY, United States

Public țintă

Research

Cuprins

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​

Recenzii

The author does a nice job explaining a variety of concepts and clearly demonstrates their use with examples supported by R code and graphics...In summary, I believe that this is a good R text on MSQC methods and how to implement them in R. I would recommend this text to quality, industrial, and process engineers.
Technometrics 65:1 2014

Caracteristici

Introduces R as a viable statistical quality control methodology Covers construction of multivariate control charts and indices? Presents the most important MSQC techniques developed in R language