Multivariate Statistical Quality Control Using R

✍ Scribed by Edgar Santos-Fernández (auth.)

Publisher: Springer-Verlag New York
Year: 2013
Tongue: English
Leaves: 133
Series: SpringerBriefs in Statistics 14
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-x
A Small Introduction....Pages 1-15
Multivariate Control Charts....Pages 17-61
Multivariate Process Capability Indices (MPCI)....Pages 63-85
Tools of Support to MSQC....Pages 87-106
Study Cases....Pages 107-119
Back Matter....Pages 121-127

✦ Subjects

Statistics and Computing/Statistics Programs; Statistics, general; Discrete Optimization

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